Politics, Economics Joshua Smith Politics, Economics Joshua Smith

Tariffs: Long Term Losses

The implementation of sweeping and unprecedented tariff policies by the United States throughout 2025, culminating in a dramatic legal and executive restructuring in early 2026, represents one of the most profound exogenous shocks to the global economic architecture in modern history. Traditional macroeconomic analyses of these tariffs often rely on standard trade elasticity models, focusing primarily on the immediate, static impacts on consumer prices, import volumes, and deadweight loss. While these conventional metrics provide necessary baseline data, they frequently fail to capture the systemic, long-term degradation of the underlying economic engine that gives a sovereign currency its fundamental value. To achieve a comprehensive, robust understanding of the short-term and long-term impacts of the 2025-2026 tariff landscape, this report applies the rigorous framework of Capacity-Based Monetary Theory (CBMT).

1. Introduction: Re-evaluating Trade Shocks Through the Lens of Capacity

The implementation of sweeping and unprecedented tariff policies by the United States throughout 2025, culminating in a dramatic legal and executive restructuring in early 2026, represents one of the most profound exogenous shocks to the global economic architecture in modern history. Traditional macroeconomic analyses of these tariffs often rely on standard trade elasticity models, focusing primarily on the immediate, static impacts on consumer prices, import volumes, and deadweight loss. While these conventional metrics provide necessary baseline data, they frequently fail to capture the systemic, long-term degradation of the underlying economic engine that gives a sovereign currency its fundamental value. To achieve a comprehensive, robust understanding of the short-term and long-term impacts of the 2025-2026 tariff landscape, this report applies the rigorous framework of Capacity-Based Monetary Theory (CBMT).

Capacity-Based Monetary Theory posits a radical departure from traditional fiat definitions, arguing instead that money is a floating-price claim on the future productive capacity of an economy. In this ontological framework, money is not backed by gold or mere state decree, nor is its value fully explained by the tripartite textbook definition of medium of exchange, unit of account, and store of value. Rather, money is a promissory note backed by the "Expected Future Impact" of the society that issues it. This capacity is quantified not as a static store of wealth, but as a dynamic, complex vector function encompassing the aggregate labor force, the efficiency of that labor (amplified by technology), the accumulation of human capital, and the stability of the institutional social contract that secures the realization of this value.

When a sovereign state aggressively alters its trade posture—such as the United States raising its average effective tariff rate from 2.4% in early 2024 to a peak of 17% in late 2025, and subsequently navigating a volatile landscape of judicial invalidations and executive pivots in 2026 —it does not merely alter the price of goods at the border. It fundamentally shifts the variables within its own domestic production function. By viewing the U.S. tariff policy through the CBMT framework, we can mathematically and theoretically map how import taxes, retaliatory measures, and the resultant institutional uncertainty directly impact the physical capital, human capital, labor force, technological efficiency, and institutional realization rate of the United States.

The current economic landscape is characterized by severe policy volatility. On February 20, 2026, the Supreme Court of the United States (SCOTUS) issued a landmark 6-3 decision in Learning Resources, Inc. v. Trump, ruling that the International Emergency Economic Powers Act (IEEPA) does not grant the President the authority to impose sweeping reciprocal and global tariffs. While this ruling immediately invalidated the baseline tariffs that had defined the 2025 economic landscape, the administration swiftly pivoted. Within hours, the executive branch invoked Section 122 of the Trade Act of 1974, imposing a new 10% global tariff for 150 days, and initiated aggressive investigations under Sections 232 and 301.

This report will systematically deconstruct these events and their cascading economic consequences. By integrating the Augmented Solow-Swan growth model, Douglass North’s institutional economics, Amotz Zahavi’s Handicap Principle, the evolutionary concept of Fitness Interdependence, and the Hamilton Filter for regime-switching probabilities, this analysis will provide an exhaustive evaluation of how the current tariff regime is reshaping the foundational capacity of the U.S. economy, dictating its short-term viability and its long-term trajectory.

2. The CBMT Analytical Framework: Defining the Collateral of Currency

To accurately price the impact of the 2025-2026 tariff shocks, it is imperative to first establish the mathematical parameters of Capacity-Based Monetary Theory. Traditional neoclassical growth models, such as the standard Solow model, are insufficient for pricing a modern fiat currency because they treat human capital merely as a component of raw labor. To accurately model the "collateral" of the U.S. dollar, CBMT utilizes the Augmented Solow-Swan model, specifically the Mankiw-Romer-Weil (MRW) specification. This framework treats Human Capital as an independent factor of production with its own accumulation dynamics, distinct from raw labor.

The production function for "Impact" (Total Output, $Y$), which serves as the underlying collateral for a sovereign currency, is defined as:

$$Y = I \cdot (K^\alpha H^\beta (A L)^{1-\alpha-\beta})$$

In this formulation, $Y$ represents Total Production or Expected Future Impact. The variable $K$ represents the stock of physical capital, while $H$ represents the stock of Human Capital, encompassing education, specialized skills, and population health. The variable $A$ represents labor-augmenting technology, or "Efficiency Capacity," which multiplies the aggregate labor force, $L$. The exponents $\alpha$ and $\beta$ represent the output elasticities of physical and human capital, respectively. Crucially, $\alpha + \beta < 1$, indicating diminishing returns to capital accumulation, a fundamental constraint that forces mature economies to rely on technological efficiency and human capital for sustained growth.

Finally, $I$ represents the Institutional Realization Rate. This is a coefficient between 0 and 1 that discounts theoretical economic capacity based on the frictional costs of institutional instability, rule of law degradation, and policy uncertainty.

Under the CBMT framework, the fundamental value of money ($V_m$) is the discounted present value of this expected future impact, adjusted by a stochastic regime premium ($R_t$). This premium is derived from the Hamilton Filter, which prices the ongoing risk of institutional collapse or severe regime switching. The mathematical formulation for the value of the currency is thus:

$$V_m = \sum_{t=1}^{\infty} \frac{I_t \cdot (K_t^\alpha H_t^\beta (A_t L_t)^{1-\alpha-\beta})}{(1+r)^t} \cdot (1 - R_t)$$

The discount rate ($r$) typically brings future cash flows to the present; however, in CBMT, $r$ represents the exchange rate between present impact and future impact. If an economy is rapidly expanding its technological efficiency ($A$) and human capital ($H$), the future is expected to be significantly richer than the present, resulting in high real interest rates as capital is demanded to fund this expansion. Conversely, if these variables stagnate, the demand for claims on the future drops, and real interest rates fall.

Tariffs are traditionally viewed as a simple consumption tax or a mechanism to protect domestic industries. However, within the CBMT equation, universal tariffs act as a massive, multi-variable exogenous shock. By increasing the cost of imported inputs, tariffs degrade the accumulation of physical capital ($K$). By prompting retaliatory isolationism and reducing cross-border academic and professional exchange, they restrict human capital ($H$) and aggregate labor ($L$). By forcing sudden, reactive shifts in global supply chains under the threat of executive decree, they threaten the Institutional Realization Rate ($I$). The net valuation of the U.S. economy—and consequently the strength of the dollar and the trajectory of real interest rates—depends entirely on how these variables interact over the coming decade.

3. Institutional Realization ($I$) and the Rule of Law Shock

The "software" of economic capacity is the institutional framework governing the state. In CBMT, production capacity is purely theoretical if the fruits of labor cannot be secured, or if infinite transaction costs (the "Hobbesian Trap") consume the economic surplus. The Institutional Realization Rate ($I$) measures the effectiveness of the "Leviathan"—the state's ability to impose order, enforce contracts, and maintain predictable regulatory environments. A high-trust society maintains an $I$ value approaching 1, whereas a volatile, unpredictable state sees its $I$ value plummet, diluting the value of its currency.

The SCOTUS Ruling and the Preservation of the Social Contract

The U.S. tariff environment throughout 2025 severely strained the Institutional Realization Rate. The executive branch utilized the International Emergency Economic Powers Act (IEEPA) to bypass Congress, levying vast, unbounded tariffs on allies and adversaries alike under the premise of national emergencies related to trade deficits and drug trafficking. The administration imposed a 10% baseline tariff, reciprocal tariffs scaling up to 50%, and fentanyl-related trafficking tariffs, applying them to virtually all imports. This executive overreach generated profound uncertainty, a known inhibitor of capital investment and long-term business planning.

On February 20, 2026, the Supreme Court's 6-3 ruling in Learning Resources, Inc. v. Trump struck down the IEEPA tariffs. The Court determined that IEEPA's grant of authority to "regulate importation" does not constitute a delegation of Congress's exclusive Article I taxing authority. The Court emphasized that there is no exception to the major questions doctrine for emergency statutes, stating that the framers gave Congress alone the power to impose tariffs during peacetime.

From a purely legal standpoint, the ruling was a reaffirmation of the separation of powers. From a CBMT perspective, the ruling was a critical defense of the Institutional Realization Rate ($I$). Legal scholars and market analysts widely interpreted the SCOTUS decision as a profound victory for the rule of law. Cary Coglianese, Director of the Penn Program on Regulation, noted that the ruling ensures continued prosperity by affirming constitutional limits against political pressure, staving off what would have been a "disastrous" breakdown of predictable governance. Corporate entities, such as the plaintiffs in the Learning Resources case, heralded the decision as a powerful reaffirmation of constitutional separation of powers. By checking the executive branch, the Court signaled to domestic and global markets that the United States remains a jurisdiction where $I$ approaches $1$, ensuring that theoretical capacity ($Y$) remains fully realizable and not subject to arbitrary expropriation.

The Section 122 Pivot and Economic Policy Uncertainty (EPU)

However, the institutional stabilization provided by the Supreme Court was immediately offset by the administration's subsequent actions. The President, calling the ruling a "disgrace to our nation," swiftly pivoted to alternative statutory authorities. Within hours of the ruling, the executive branch invoked Section 122 of the Trade Act of 1974 to impose a new 10% global tariff, effective February 24, 2026. This statute allows the President to impose duties of up to 15% for up to 150 days to address "large and serious" balance of payments issues. Concurrently, the administration announced the launch of new, targeted investigations under Section 301 (unfair trade practices) and Section 232 (national security).

While Section 122 requires congressional approval to extend beyond 150 days, thereby maintaining a semblance of legislative oversight , its immediate deployment perpetuates a regime of chronic policy volatility. In CBMT, such volatility is tracked via the Economic Policy Uncertainty (EPU) index, based on the methodology of Baker, Bloom, and Davis. Increased EPU acts as a direct friction cost on $I$, depressing economic activity by forcing firms and households to postpone significant financial decisions, specifically capital investment and hiring.

The U.S. EPU Index reached historic extremes during this period, reflecting the severe institutional strain. Historical data shows the index reached a record low of 3.32 in August 2015, but spiked to an all-time high of 1026.38 in January 2024 as the prospect of aggressive trade policies emerged. Leading up to the Supreme Court decision and the subsequent Section 122 pivot in February 2026, the daily EPU index exhibited violent fluctuations.

Date U.S. Economic Policy Uncertainty (EPU) Index
August 2015 (Historical Low) 3.32
January 2024 (Historical High) 1026.38
February 15, 2026 345.60
February 17, 2026 288.00
February 19, 2026 (Eve of SCOTUS Ruling) 706.97

Table 1: U.S. Economic Policy Uncertainty Index Volatility (Feb 2026). Data Source: United States Federal Reserve / FRED.

This high-variance institutional environment directly impacts corporate transaction costs. Businesses report that rapid fluctuations in trade policy complicate supply chain contracting, forcing them to constantly renegotiate supply agreements and alter pricing windows. Throughout 2025, major manufacturers were forced to revise their internal tariff cost estimates multiple times due to policy whiplash. For instance, Ford initially projected \$1.5 billion in annual tariff costs, increased this to \$2 billion following the announcement of universal tariffs, and then downwardly revised it to \$1 billion based on complex offset programs. Similarly, General Motors fluctuated from an annual projection of \$5 billion down to \$4.5 billion, while Caterpillar upwardly revised its projection from \$1.5 billion to \$1.75 billion.

Furthermore, research indicates that the sheer complexity and "loophole-ridden" nature of the current tariff regime allows for widespread tariff evasion, making it exceptionally challenging for businesses to predict actual costs and for the government to project actual revenues. Within the CBMT equation, this chronic uncertainty and regulatory complexity mathematically lowers the Institutional Realization Rate ($I$). Even if physical capital and labor remain constant, a lower $I$ diminishes the present value of the currency, acting as a structural drag on the economy.

4. Short-Term Economic Impacts: Pricing the Immediate Shock

In the short term—defined within this analysis as a 12-to-24-month horizon—the imposition of the 2025 tariffs and the subsequent 2026 legal restructuring have manifested as distinct, measurable shocks to consumer prices, aggregate demand, and immediate GDP output.

Tariff Incidence and Consumer Pass-Through

The fundamental question of tariff economics is the distribution of incidence: whether the cost falls on foreign exporters, domestic importers, or end consumers. Under CBMT, a tariff acts as an artificial inflation of the cost required to generate Impact ($Y$). If the foreign exporter absorbs the cost to maintain market share, the domestic currency retains its purchasing power. If the cost is passed through, the domestic currency dilutes in real terms.

Empirical analyses of the 2025 tariff regime indicate a substantial pass-through to the American consumer. Research from the New York Federal Reserve and other macroeconomic models suggests that pass-through rates currently exceed 50%, with some highly inelastic goods experiencing nearly 100% pass-through. By February 2026, following the SCOTUS decision and the immediate implementation of Section 122, The Budget Lab estimates that the remaining tariffs will increase the aggregate consumer price level by 0.6% in the short run. Even after consumers and businesses shift their purchasing behavior (post-substitution), the persistent price increase is expected to settle at 0.5%.

This translates to a direct, regressive reduction in real household wealth. The remaining post-SCOTUS tariffs represent a short-run income loss of approximately \$800 for the average U.S. household, measured in 2025 dollars. For households at the bottom of the income distribution, the loss is approximately \$400, but represents a much larger share of their total income. The burden on the first income decile (1.1% of post-tax-and-transfer income) is nearly three times larger than the burden on the highest decile (0.4%).

Short-Term GDP, Labor, and the Fiscal Impulse of Refunds

The macroeconomic drag of these price increases became evident in late 2025. U.S. Gross Domestic Product (GDP) growth slowed sharply to a 1.4% annualized rate in the fourth quarter of 2025, significantly missing the consensus forecast of 3.0%. While this slowdown was partially exacerbated by a 43-day government shutdown that subtracted an estimated 1.5 percentage points from fourth-quarter GDP , the underlying drag of tariff-inflated input costs heavily weighed on the manufacturing sector. The administration's goal of reversing manufacturing declines was fundamentally undermined by the increased cost of imported components, leading to a loss of 68,000 manufacturing jobs over the year.

However, the February 2026 SCOTUS ruling introduces a complex, countervailing short-term dynamic. Because the IEEPA tariffs were ruled unlawful ab initio, billions of dollars in unlawfully collected duties are potentially subject to court-ordered refund claims. The Court of International Trade (CIT) is positioned to order relief, and U.S. Customs and Border Protection (CBP) may implement refunds through administrative correction processes.

If the U.S. Treasury processes these reimbursements, it will inject a massive, unanticipated fiscal stimulus into the corporate sector. The Budget Lab estimates that this temporary positive fiscal impulse from IEEPA refunds will approximately offset the negative growth impacts of the remaining Section 122 and Section 232 tariffs for the calendar year 2026. Consequently, short-term equity markets reacted favorably to the ruling. U.S. small-cap equities jumped as reduced supply-chain uncertainty and the prospect of refunds supported profit margins, while non-U.S. stocks in export-heavy economies (such as Canada and Mexico) also rallied.

Short-Term Economic Metric Impact Estimate (Post-SCOTUS 2026)
Average Effective Tariff Rate (Post-Substitution) 8.0% (down from 16.9% with IEEPA)
Short-Run Price Level Increase +0.6%
Average Household Income Loss -$800
Short-Run Payroll Employment Impact -550,000 jobs
Q4 2025 Annualized GDP Growth 1.4%

Table 2: Short-Term Economic Impacts of the 2026 Tariff Landscape. Data aggregated from The Budget Lab and BEA reports.

5. Capital Accumulation ($K$) and the Crowding Out Effect

While short-term fiscal impulses driven by legal refunds may mask immediate GDP contractions, Capacity-Based Monetary Theory is fundamentally concerned with the long-term accumulation of the core production variables. The first of these is Physical Capital ($K$).

Tariffs systematically degrade the accumulation of $K$ through two primary channels: the reduction of global capital flows and the crowding out of private investment by sovereign debt issuance. The Wharton Penn Budget Model (PWBM) provides a stark quantitative assessment of these dynamics over extended horizons.

Universal tariffs inherently restrict the volume of global trade. The PWBM projects that the tariff regime enacted in April 2025 will reduce total U.S. imports by \$6.9 trillion over the next decade (2025-2034) and by a staggering \$37.2 trillion through 2054. While the administration points to the massive revenue generation of these tariffs—projected by PWBM at \$5.2 trillion over ten years conventionally, or \$4.5 trillion dynamically when accounting for economic drag —this revenue comes at the cost of global capital starvation.

In the macroeconomic balance of payments, the U.S. trade deficit represents a capital inflow; foreign entities exchange goods for U.S. dollars, which are subsequently reinvested into U.S. assets, including corporate equities and federal government bonds. A reduction of $37.2 trillion in imported goods corresponds directly to foreign businesses and governments purchasing fewer U.S. assets.

Because the U.S. domestic investment outpaces domestic saving, this foreign capital is necessary to finance business investment and the government's budget deficit. The Congressional Budget Office (CBO) projects the federal deficit will grow to \$1.9 trillion in fiscal year 2026 and \$3.1 trillion by 2036, pushing debt held by the public to 120% of GDP. If foreign capital inflows drop due to restricted trade, U.S. domestic savings must be diverted away from productive private sector investments to absorb this massive federal debt issuance.

This mechanism triggers a classic "crowding out" effect. Capital that would otherwise be deployed by private firms for research, development, and infrastructure expansion ($K$) is instead absorbed by sovereign debt servicing. As a result, the Wharton model projects that by 2054, the U.S. capital stock will be between 9.6% and 12.2% lower than it would have been under current law.

In the CBMT equation ($Y = I \cdot (K^\alpha H^\beta (A L)^{1-\alpha-\beta})$), a sustained reduction in the capital stock ($K$) directly reduces the marginal productivity of labor, regardless of how hard the population works. This drop in productivity inevitably drives down real wages. Long-run wage projections from PWBM suggest a 5% decline due to this specific capital starvation channel, burdening the middle-class with an estimated $22,000 lifetime loss.

Timeframe Projected Import Reduction Projected Revenue (Conventional) Projected Revenue (Dynamic)
10-Year (2025-2034) -$6.93 Trillion $5.24 Trillion $4.49 Trillion
30-Year (2025-2054) -$37.23 Trillion $16.39 Trillion $11.82 Trillion

Table 3: Long-Term Effects of Universal Tariffs on Trade and Revenue. Source: Penn Wharton Budget Model.

6. Human Capital ($H$) and Labor ($L$): The Demographic Contraction

The most profound vulnerability exposed by applying CBMT to the 2025-2026 policy landscape lies in the human variables of the production function: the aggregate labor force ($L$) and the accumulated stock of Human Capital ($H$). Unlike raw commodities, these assets take decades to cultivate and cannot be rapidly re-shored.

The Aggregate Labor Contraction ($L$)

The Augmented MRW specification utilized by CBMT emphasizes that a currency's strength is heavily reliant on the continuous replenishment of the labor force. Concurrently with the tariff regime, the U.S. administration implemented historically restrictive immigration policies throughout 2025, severing the primary pipeline of U.S. demographic growth.

The macroeconomic impact of these restrictions has been immediate. Net immigration, which traditionally provided between 500,000 and 1.5 million new workers annually, fell drastically. Brookings Institute research estimates that net migration in 2025 dropped to between -10,000 and -295,000 individuals—the first time it has gone negative in at least half a century. Consequently, breakeven employment growth—the number of jobs needed to keep the unemployment rate stable—plunged into negative territory, pushing the labor market into a stagnant "low-hire, low-fire" equilibrium.

The long-term projections for the labor force ($L$) are deeply pessimistic. The National Foundation for American Policy (NFAP) projects that the combination of legal and illegal immigration restrictions will reduce the projected number of workers in the United States by 6.8 million by 2028, and by 15.7 million by 2035. Due to these missing workers, the U.S. economy faces a potential labor loss of approximately 102 million worker-years by 2035. This sudden contraction heavily suppresses the $L$ variable in the CBMT production function, acting as a permanent downward shift in the economy's production possibility frontier.

The Targeted Degradation of Human Capital ($H$)

More alarming than the raw numerical drop in $L$ is the targeted degradation of $H$. Human capital represents the specialized skills, advanced education, and innovative capacity of the population.

The administration's policies have actively dismantled high-skilled immigration pipelines. Specific measures included prohibitions on international students working on Optional Practical Training (OPT) and STEM OPT extensions after completing their coursework. In 2024, STEM OPT participation had surged by 54%, with over 95,000 foreign students obtaining work authorization, providing critical engineering and technical talent to major U.S. technology firms. The elimination of these programs severs the inflow of highly educated human capital.

Data from the Student and Exchange Visitor Information System (SEVIS) in late 2025 showed that while 1.16 million international students remained enrolled in U.S. programs, the underlying trend in new student enrollment was sharply decreasing, driven by an atmosphere of fear and policy uncertainty.

Under CBMT, a currency backed by a population with declining advanced education (low $H$) represents a claim on a fundamentally smaller pool of future innovation. A shrinking population can theoretically sustain a strong currency if human capital accumulation outpaces the numerical decline. However, the 2025-2026 policy landscape represents a simultaneous assault on both $L$ (aggregate labor) and $H$ (high-skill STEM retention). The NFAP estimates this combined demographic and human capital shock will reduce cumulative U.S. GDP by \$1.9 trillion by 2028, and by a staggering \$12.1 trillion by 2035.

Demographic Metric Projected Impact of 2025-2026 Immigration Policies
Net Migration (2025) -10,000 to -295,000 individuals
Labor Force Reduction (2028) -6.8 Million workers
Labor Force Reduction (2035) -15.7 Million workers
Cumulative GDP Loss (2035) -$12.1 Trillion
Lost Worker-Years (2035) 102 Million

Table 4: Long-Term Impacts of Restrictive Immigration Policies on U.S. Labor Capacity. Source: NFAP and Brookings Institute.

7. Technological Substitution ($A$) and the Solow Residual

Faced with higher imported input costs due to tariffs and a shrinking labor pool due to immigration restrictions, domestic firms are forced to alter their production functions to survive. If $K$ and $H$ are constrained, firms must exponentially increase Efficiency Capacity ($A$) to maintain output ($Y$) and protect profit margins. This efficiency multiplier is often measured macroeconomically as the Solow Residual—the portion of economic growth not explained by raw capital or labor accumulation, typically attributed to technological advancement.

Throughout 2025 and early 2026, the U.S. economy witnessed a massive acceleration in the deployment of Artificial Intelligence (AI) and industrial automation. A detailed macroeconomic analysis of corporate behavior indicates that tax and tariff policies directly accelerated AI investment. Large, capital-intensive firms capable of offsetting tariff costs utilized their remaining liquidity to invest heavily in technology to defend their margins through labor cost savings.

The International Monetary Fund (IMF) reported in January 2026 that IT investment as a share of U.S. economic output surged to its highest level since 2001, providing a major boost to overall business activity and helping the global economy shake off the immediate tariff shocks. From a CBMT perspective, this represents a crucial compensatory mechanism. The aggressive expansion of $A$ (technology) is acting as a counterbalance to the degradation of $K$ (physical capital) and $L$ (labor). If AI integration yields the transformative productivity gains anticipated by hyperscalers, the long-term capacity of the U.S. economy may stabilize, validating the currency's value despite the frictional costs of protectionism. However, if this technological boom proves to be an investment bubble, the U.S. economy will be left with the unmitigated drag of capital starvation and demographic decline.

8. Corporate Strategy: Fitness Interdependence and Shared Fate

If macro-level capacity variables are under siege, micro-level entities (corporations) must adapt their internal structures to navigate the resulting high-friction environment. Capacity-Based Monetary Theory integrates the biological and evolutionary concept of "Fitness Interdependence" or "Shared Fate" to explain modern workforce design and corporate resilience.

Shared Fate in the Face of Trade Shocks

Fitness interdependence occurs when individuals or entities have a direct stake in each other's welfare, mimicking cooperative behaviors found in kin groups without requiring genetic relatedness. In the context of the 2025-2026 trade wars, U.S. firms utilized shared fate strategies to mitigate the damage caused by tariffs, supply chain disruptions, and labor shortages.

As input costs spiked and high-skill labor became scarce, companies could no longer afford the frictional costs of high employee turnover. To maximize the efficiency term ($A$) of their own micro-production functions, firms increasingly turned to specialized compensation structures to bind key talent to the organization. For senior leaders, portfolio CEOs, and critical operating executives, an increasing portion of total compensation in 2026 is provided through instruments that pay out only when value is realized. These structures include equity grants, profit interests, phantom equity, and Stock Appreciation Rights (SARs). By linking the economic survival and wealth generation of the employee directly to the long-term viability of the firm, corporate leaders intentionally engineered a state of high fitness interdependence.

This strategy extended beyond internal employee relations to broader supply chain alliances. When the initial IEEPA tariffs and subsequent Section 122 tariffs disrupted global logistics, smaller firms in exposed sectors banded together. As observed in earlier emergent markets (such as the U.S. biodiesel market defending against environmental challenges), targeted ventures experiencing a "shared fate" due to asymmetric policy threats pool their resources. In 2026, the imposition of the 10% global surcharge under Section 122 has forced traditionally competitive firms into cooperative supply-chain alliances to share the burden of increased costs, rather than passing 100% of the price hike to an already exhausted consumer base. This consensual, cooperative behavior refines mutual expectations of effort and reward, acting as an adaptive design feature for processing complex market information efficiently.

9. Sovereign Signaling and the Handicap Principle

From a geopolitical and macroeconomic standpoint, the implementation of economically damaging tariffs can be analyzed through the lens of Amotz Zahavi’s Handicap Principle, another core pillar of the CBMT framework.

The Handicap Principle, originating in evolutionary biology, suggests that sexually selected traits or behaviors function as honest signals of quality precisely because they are wastefully extravagant and costly. The classic example is the peacock's tail: only a highly fit organism can afford the metabolic cost of growing and maintaining an ornament that actively hinders its survival. A low-quality agent cannot afford to burn capital in this manner; thus, enduring a self-imposed handicap proves underlying surplus capacity.

Applying this framework to the 2026 tariff landscape reframes the administration's actions. The U.S. government's willingness to endure severe domestic economic pain—higher inflation, manufacturing job losses, supply chain chaos, and the alienation of allies—acts as a massive, costly signal to the international community, specifically geopolitical rivals like China. By willingly absorbing the deadweight loss of universal tariffs and risking a recession, the United States signals that its fundamental economic capacity ($Y$) is so vast that it can survive self-inflicted wounds that would outright destroy a weaker, export-dependent nation.

This "sovereign signaling" aims to force structural concessions from trading partners without resorting to military conflict. Indeed, the Atlantic Council noted that while the 2025 tariff shocks were deeply disruptive to global commerce, they successfully imbued U.S. trading partners with a sense of urgency regarding the need to reform the international trading system to accommodate legitimate U.S. concerns.

The effectiveness of this handicap strategy, however, relies entirely on the premise that the United States actually possesses the surplus capacity it is projecting. If the degradation of capital ($K$) and human talent ($H$) is too severe, the handicap is no longer a signal of overwhelming strength, but a catalyst for systemic economic collapse. The line between a strategic display of dominance and catastrophic self-harm is exceedingly thin.

10. Valuation in a Stochastic World: The Hamilton Filter and Regime Probabilities

To quantitatively assess the risk of this systemic collapse and accurately price the value of the U.S. dollar, CBMT employs Regime-Switching Models, specifically the Hamilton Filter. Traditional deterministic economic models fail to account for sudden breaks in the social contract or discrete, paradigm-altering shifts in trade architecture. The Hamilton Filter recursively estimates the probability of the unobserved state of the economy (e.g., Expansion vs. Recession, or Stable vs. Collapse) using prediction and update steps based on real-time macroeconomic data.

Regime Probabilities in 2026

The U.S. economy in early 2026 hovers on the precipice of a regime shift. The Hamilton Filter analyzes the variance in inflation data, GDP growth, and abrupt policy shifts to update the transition matrix of the economy. A Markov process dictates that the probability of being in a particular state is dependent upon the previous state, but exogenous shocks—such as the sudden implementation of Section 122 global tariffs—can force a discrete jump to a high-volatility regime.

Following the SCOTUS ruling and the Section 122 pivot, the filtered probability of the U.S. entering a recessionary regime has remained elevated but choppy. Some models, such as those run by Goldman Sachs Research, reduced the probability of a recession in the next 12 months from 30% to 20%, anticipating that the drag from tariffs will give way to a boost from business and personal tax cuts included in the One Big Beautiful Bill Act. However, pure mathematical models utilizing the Hamilton filter on long-term time series data show that rapid, discretionary shifts in monetary and trade policy historically precede transitions into highly volatile, inflationary regimes.

Inflation, Interest Rates, and the Yield Curve

In the CBMT framework, the discount rate ($r$) represents the exchange rate between present impact and future impact. The Federal Reserve's response to the tariff-induced inflation and shifting regime probabilities dictates this rate.

Throughout late 2025, the Federal Reserve cut interest rates aggressively, bringing the target range down to 3.50% - 3.75% by December. Market consensus for 2026 projects further cuts down to 3.0%. However, the Hamilton Filter analysis of the new Section 122 tariff regime suggests a high probability of persistent, structural inflation.

The SCOTUS decision introduced a profound variable: if the Treasury is forced to refund billions in illegal IEEPA tariffs, the resulting fiscal shortfall will widen the already massive budget deficit. To finance this deficit, the Treasury must issue more debt. This supply shock, combined with the inflationary pressure of the Section 122 tariffs, fundamentally alters the yield curve. Following the February 20 ruling, the U.S. Treasury yield curve immediately steepened, with long-term rates rising as markets priced in the fiscal pressure and the potential loss of ongoing tariff revenue.

If the Hamilton Filter detects a permanent shift toward a high-inflation, high-debt regime where the "Leviathan" is losing control of the fiscal trajectory, the discount rate on future U.S. capacity will spike. This results in the structural devaluation of the currency, as investors demand higher premiums to hold U.S. debt in an unstable institutional environment.

Macroeconomic Indicator 2025 Status (Pre-SCOTUS) 2026 Projection (Post-SCOTUS / Sec 122)
Average Effective Tariff Rate 16.9% (with IEEPA) 9.1% (up to 24.1% max under Sec 122)
Federal Funds Rate 4.00% 3.00% - 3.75%
Goldman Sachs Recession Probability 30% 20%
U.S. Treasury Yield Curve Inverted / Normalizing Steepening at the long end
Fiscal Deficit Pressure Baseline expansion Increased by IEEPA refund liabilities

Table 5: Shifting Macroeconomic Regime Indicators (2025-2026). Data Aggregated from.

11. Long-Term Sectoral Reallocation

Synthesizing the variables of Capacity-Based Monetary Theory allows for a rigorous projection of the long-term impact of the 2026 trade architecture. If the administration successfully utilizes Section 122, Section 301, and Section 232 to replicate the high-tariff environment blocked by the Supreme Court, the long-term degradation of capacity is mathematically inevitable under standard growth models.

Beneath the aggregate GDP decline lies a violent sectoral reallocation. In the long run, the tariff environment forces an artificial restructuring of the U.S. economy. Because tariffs protect domestic manufacturing from foreign competition, manufacturing output is projected to expand by 1.2% in the long term. However, this expansion is deeply inefficient. The physical capital ($K$) and labor ($L$) absorbed by the protected manufacturing sector are cannibalized from other, potentially more productive areas of the economy.

Consequently, The Budget Lab projects that construction output will decline by 2.4%, and the agriculture and mining sectors will experience significant contractions exceeding 1%. This represents a net destruction of Efficiency ($A$). By sheltering industries rather than forcing them to compete on global innovation, the state subsidizes inefficiency. When combined with the deliberate restriction of high-skill human capital ($H$) via immigration cuts, the theoretical limits of U.S. production are permanently lowered.

12. Conclusion: The Valuation of Capacity

Capacity-Based Monetary Theory demonstrates that the value of a nation's currency and the stability of its economy are derivative claims on its future productive capacity. The application of this framework to the 2025-2026 U.S. tariff policies reveals a profound misalignment between short-term geopolitical tactics and long-term economic sustainability.

The immediate invalidation of the IEEPA tariffs by the Supreme Court in February 2026 successfully preserved the Institutional Realization Rate ($I$), signaling to global capital markets that the United States remains governed by the rule of law rather than unconstrained executive fiat. However, the rapid substitution of these measures with Section 122 global tariffs guarantees that Economic Policy Uncertainty (EPU) will remain a heavy friction cost on domestic investment.

In the short term, the U.S. economy may experience a localized, debt-fueled stimulus driven by tariff refunds and aggressive corporate investments in Artificial Intelligence ($A$), designed to bypass tariff-inflated supply chains and critical labor shortages. Furthermore, corporate adoption of "Fitness Interdependence" through broad-based equity compensation has temporarily stabilized the workforce in high-value sectors.

In the long term, however, the mathematics of the Augmented Solow-Swan model are unforgiving. The current trade and immigration regime systematically degrades the two most vital components of future capacity: Physical Capital ($K$), which is aggressively crowded out by the reduction in global trade flows and rising sovereign debt issuance; and Human Capital ($H$), which is crippled by demographic stagnation and the legislative rejection of high-skill STEM talent.

If money is truly a priced bet on the future impact of a society, the 2026 tariff landscape forces the global market to underwrite a U.S. economy that is deliberately shrinking its own productive horizons. While the application of the Handicap Principle suggests that this economic self-harm is a calculated geopolitical signal of dominance, it carries extreme systemic risk. Unless the costly signal of the trade war rapidly yields a more favorable, frictionless global trade architecture, the underlying collateral of the U.S. economy will degrade, necessitating a structural, downward repricing of the nation's capacity in the decades to come.

Download PDF
Download PDF
Read More
Economics, Politics Joshua Smith Economics, Politics Joshua Smith

Cuba is in Trouble

The structural unraveling of the Cuban economy between the years 2020 and 2026 provides a profound, if tragic, empirical testing ground for contemporary macroeconomic and monetary theories. Traditional functionalist definitions of money—which define a currency merely by its symptoms as a medium of exchange, a unit of account, and a store of value—fail to capture the ontological reality of the hyperinflationary spiral currently devastating the Cuban peso (CUP).1 To thoroughly diagnose the etiology of Cuba’s economic collapse, it is analytically necessary to deploy Capacity-Based Monetary Theory (CBMT). This theoretical framework posits that money is not an arbitrary fiat token sustained merely by state decree, but rather a circulating promissory note—a floating-price claim on the expected future productive capacity, or the "Expected Future Impact," of the society that issues it.1

1. Introduction: The Ontological Reassessment of the Cuban Peso

The structural unraveling of the Cuban economy between the years 2020 and 2026 provides a profound, if tragic, empirical testing ground for contemporary macroeconomic and monetary theories. Traditional functionalist definitions of money—which define a currency merely by its symptoms as a medium of exchange, a unit of account, and a store of value—fail to capture the ontological reality of the hyperinflationary spiral currently devastating the Cuban peso (CUP). To thoroughly diagnose the etiology of Cuba’s economic collapse, it is analytically necessary to deploy Capacity-Based Monetary Theory (CBMT). This theoretical framework posits that money is not an arbitrary fiat token sustained merely by state decree, but rather a circulating promissory note—a floating-price claim on the expected future productive capacity, or the "Expected Future Impact," of the society that issues it.

Under the rigorous framework of CBMT, the liability of a sovereign's money supply on the balance sheet of a civilization must be balanced by the underlying asset of the nation's productive capacity. When an economic agent holds the Cuban peso, they are essentially acquiring a call option on the aggregate future labor, the technological efficiency, and the institutional stability of the Cuban state. Therefore, the purchasing power of the currency operates as a real-time pricing index of the economy's production function and the viability of its underlying social contract. The hyperinflation experienced in Cuba over the last half-decade—reaching an estimated 500% in 2021 and 200% in 2022, alongside a precipitous devaluation of the peso in the informal market—cannot be understood merely as a standard monetary phenomenon involving the over-issuance of the broad money supply (M2). Rather, it reflects the simultaneous and catastrophic degradation of Cuba's physical capital, the rapid and unrecoverable depletion of its human capital, and the terminal failure of its institutional frameworks to realize productive value.

This comprehensive research report provides an exhaustive analysis of the Cuban economic crisis through the specific analytical lens of Capacity-Based Monetary Theory. It integrates the augmented Mankiw-Romer-Weil (MRW) production framework to evaluate physical and human capital dynamics, deploys Douglass North’s institutional jurisprudence to measure transaction costs, and utilizes stochastic regime-switching models—specifically the Hamilton Filter—to formally map the collapse of Cuba’s macroeconomic collateral. By meticulously dissecting the failure of the 2021 Tarea Ordenamiento (Monetary Reordering Task) and the subsequent monetization of highly unsustainable fiscal deficits, this analysis demonstrates how deeply ingrained structural inefficiencies have effectively liquidated the asset base backing the Cuban currency. The ultimate result is an infinite discount rate on the nation's expected future impact, driving the fundamental value of the fiat liability toward zero.

2. Theoretical Foundations: Capacity-Based Monetary Theory (CBMT)

To rigorously operationalize the valuation of the Cuban peso and understand the mechanics of its hyperinflationary demise, macroeconomic analysis must move beyond the traditional Fisherian equation of exchange ($MV=PQ$). While monetarist frameworks correctly identify the relationship between money supply and price levels, they often obscure the underlying physical and institutional collateral that gives a fiat currency its purchasing power. Capacity-Based Monetary Theory corrects this by formalizing the "hardware and software" of the economy into a unified valuation model. CBMT asserts that money is a direct derivative of future real output ($Y$), which serves as the ultimate collateral for the currency.

If a society's money supply remains completely constant while its capacity to produce tangible goods, services, and innovations expands, the purchasing power of that money increases, resulting in deflation. Conversely, if the productive capacity degrades while the claim structure (the money supply) remains fixed or expands, the value of the claim rapidly dilutes, resulting in inflation. In the case of Cuba, the economy is suffering from a catastrophic simultaneous occurrence: the rapid expansion of the claim structure through central bank deficit monetization, paired with the complete collapse of the underlying capacity engine.

The CBMT framework requires the integration of three distinct theoretical pillars to calculate the fundamental value of a currency. First, the "hardware" of the economy must be modeled using advanced production theory, specifically the Augmented Solow-Swan model as specified by Mankiw, Romer, and Weil, which separates raw labor from human capital. Second, the "software" of the economy must be quantified through institutional economics, utilizing the concepts of transaction costs and the Hobbesian trap to derive an Institutional Realization Rate. Third, the pricing of these factors in a non-deterministic, highly volatile world must be calculated using regime-switching algorithms to account for the sudden collapse of social contracts. When synthesized, these pillars reveal that the price of the Cuban peso is not an anomaly, but a highly accurate, mathematically sound reflection of a nation that has lost the capacity to project value into the future.

3. Modeling Cuba's Productive Capacity: The MRW Framework

The starting point for quantifying the macroeconomic collateral of the Cuban state is the augmented Solow-Swan growth model, specifically the Mankiw, Romer, and Weil (1992) specification. The standard neoclassical Solow model is entirely insufficient for analyzing modern economies—and particularly the Cuban economy—because it treats human capital merely as a fungible component of raw labor. To accurately map the true collateral of the Cuban peso, the MRW specification is required, as it treats Human Capital ($H$) as an independent factor of production with its own unique accumulation and depreciation dynamics.

The rigorous production function for a nation's theoretical capacity, or "Impact," is mathematically defined within the CBMT framework as:

$$Y_t = A_t \cdot K_t^\alpha \cdot H_t^\beta \cdot L_t^{1-\alpha-\beta}$$

Within this equation, $Y_t$ represents the total tangible goods, services, and innovations produced, serving as the underlying collateral. The variable $A_t$ represents labor-augmenting technology, capturing the overall efficiency and total factor productivity (TFP) of the civilization. $K_t$ is the accumulated stock of physical capital, including infrastructure, machinery, and industrial plants. $H_t$ is the stock of human capital, reflecting the advanced skills, health, and specialized education of the populace. Finally, $L_t$ is the aggregate raw labor force. The exponents $\alpha$ and $\beta$ represent the elasticities of output with respect to physical and human capital, respectively, and their sum is constrained to imply diminishing returns to capital accumulation.

In the context of currency valuation under CBMT, the strength of the Cuban peso relies heavily on the state's investment rate in physical capital ($s_k$) and human capital ($s_h$) being sufficient to outpace the natural depreciation of these assets ($\delta$) and the dynamics of population growth ($n$). As the subsequent sections will demonstrate through empirical data, Cuba's fundamental crisis stems from a systemic inability to maintain the investment rate in physical capital, causing a severe contraction in the stock of $K_t$, while simultaneously suffering massive, exogenous shocks to both its human capital ($H_t$) and its raw labor force ($L_t$) via historic waves of emigration.

4. The Collapse of the Labor Force ($L$) and the Demographic Void

The raw labor input ($L$) of the Cuban economy is experiencing a rapid, unprecedented, and structurally irreversible decline. During the mid-to-late 20th century, economic growth throughout Latin America and the Caribbean was largely driven by expanding labor forces, allowing nations to capitalize on a demographic dividend. However, Cuba today exhibits the characteristics of an advanced, terminal demographic transition. This transition is characterized by extraordinarily low fertility rates, low mortality levels, and high life expectancy, leading to an inverted population pyramid.

The empirical data highlights the severity of this demographic void. Between the years 2000 and 2024, the total population of Cuba fell from 11,109,109 to 10,979,783, representing an initial 1.2% decrease. However, this trend has recently accelerated to a catastrophic degree; by the end of 2024 alone, the nation recorded an annualized population decrease of 3%. The internal structure of this shrinking population is heavily skewed toward the elderly. In 2024, individuals over 65 years of age accounted for 16.6% of the total population, which is a massive 6.8 percentage point increase compared to the year 2000. Consequently, the Cuban economy is burdened with an exceptionally high dependency ratio, calculated at 46.8 passive individuals for every 100 potentially active individuals. This severely limits the aggregate productive capacity of the nation, as a shrinking pool of active workers must generate the surplus required to sustain a growing demographic of retirees.

Furthermore, the raw labor pool is not merely aging; it is being actively decimated by mass emigration. In the year 2022 alone, Cuba witnessed an unprecedented wave of emigration, with over 300,000 Cubans undertaking the perilous journey to the United States, while tens of thousands more sought refuge in Europe and other Latin American nations. This mass exodus was further fueled by temporary immigration policies, such as the ability to cross into the United States via Mexico, which acted as a safety valve for intense domestic political and economic frustration. Within the CBMT and MRW frameworks, this exodus acts as a severe negative shock to the $L_t$ variable. The nation is actively bleeding the exact demographic required to staff its industries, maintain its infrastructure, and produce the tangible goods necessary to balance the central bank's expanding monetary liabilities. The loss of this demographic directly reduces the aggregate capacity of the economy, ensuring that the expected future impact of the Cuban state continues to contract.

5. The Paradox of Cuban Human Capital ($H$)

While the contraction of raw labor is damaging, the dynamics of Cuba's Human Capital ($H$) present a unique macroeconomic paradox that CBMT is perfectly calibrated to explain. Gary Becker’s foundational theories on the allocation of time suggest that labor is not a fungible, homogeneous commodity, but rather a specialized form of capital that is accumulated through heavy societal and individual investment. Historically, the central pillar of the Cuban economic model was its profound, state-sponsored investment in human capital. The nation boasts a highly educated and remarkably healthy populace, with a literacy rate that has been maintained at 99.9% across both genders. Furthermore, the life expectancy at birth in 2024 was recorded at 78.3 years, outperforming the averages of the broader Region of the Americas and remaining significantly higher than the 75.9 years recorded in 2000.

The World Bank’s Human Capital Index (HCI) further quantifies this anomaly. The HCI indicates that a child born in Cuba just prior to the pandemic would be expected to be 73% as productive in adulthood as they could theoretically be with complete education and full health. This metric is substantially higher than the 56% average for the Latin America and Caribbean region, and outpaces the average for Upper-Middle-Income countries globally. The advanced nature of the labor force is also reflected in the data; at its peak in the previous decade, over 81% of the total working-age population possessed advanced education, including tertiary and doctoral degrees, while the intermediate education rate stood at over 63%.

Under a standard, un-augmented neoclassical growth model, this massive accumulated stock of human capital should yield extraordinary economic output and robust GDP growth. However, Cuba represents a unique and persistent paradox in the academic literature: it features immense equity and world-class human capital, yet delivers paltry, stagnating economic growth. In the Capacity-Based Monetary Theory model, human capital ($\beta$) does not exist in a vacuum; it requires the concurrent existence of physical capital ($\alpha$) and a high institutional realization rate ($\theta$) to become productive. A society of highly trained engineers and specialized doctors cannot generate real economic output without modern technology, functional machinery, reliable energy grids, and the market incentives required to allocate their time efficiently.

Tragically, this immense stock of human capital is currently undergoing rapid liquidation. The recent waves of emigration are not randomly distributed across the population; the individuals fleeing the island are disproportionately young, highly educated professionals seeking environments where their human capital can generate realized returns. This brain drain is hollowing out the most critical sectors of the Cuban state. According to official figures, the mass exodus has resulted in an estimated 40,000 vacancies in the healthcare sector alone. Historically, the Cuban government leveraged its medical industry as a primary source of foreign exchange, exporting health care professionals to countries with doctor shortages in exchange for commercial services and energy. The loss of these professionals represents a catastrophic depletion of the state’s premium collateral. The nation is actively losing the highly skilled subset of the population required to generate the complex, high-value output needed to defend the currency, permanently lowering the long-term ceiling of the nation's expected future impact.

6. The Eradication of Physical Capital ($K$) and Efficiency ($A$)

A currency backed by a highly educated population must also be backed by the physical infrastructure required to amplify that labor into tangible output. Decades of chronic underinvestment, stemming initially from the collapse of the Soviet Union (which abruptly ended heavy subsidies and technical support) and compounded by deeply flawed, highly centralized macroeconomic planning, have left Cuba severely deficient in physical capital accumulation.

To maintain a physical capital stock ($K_t$), a nation's investment rate ($s_k$) must continuously exceed the rate of capital depreciation ($\delta$). In Cuba, this fundamental mathematical requirement has not been met for years. The rate of gross fixed capital formation (GFCF)—the standard proxy for investment in physical capital—averaged a mere 13.9% of GDP between the years 2002 and 2022, reaching 15% in 2022. This level of investment is vastly insufficient to cover the depreciation of aging Soviet-era infrastructure in a tropical climate. More alarmingly, the investment growth trend has turned steeply negative since 2019, registering a contraction of -6% in 2022. This lack of domestic reinvestment is empirically reflected in the shrinking share of capital goods in Cuba's total imports, which dropped from an already low 12% in 2013 to just 9% in 2021.

The empirical manifestations of this capital degradation are systemic, highly visible, and devastating across all primary sectors of the economy:

  • The Energy Infrastructure Collapse: The national energy grid relies entirely on highly obsolete, rapidly deteriorating thermal power plants. The long-term lack of investment, combined with a severe shortage of the foreign currency required to purchase imported fuel, has led to a complete inability to maintain generation capacity. This results in frequent, catastrophic failures of the national power grid and prolonged blackouts that paralyze all other productive and domestic activities, acting as an absolute bottleneck on economic output.

  • The Destruction of the Industrial Base: The sugar industry, which was historically the backbone of the Cuban economy and its primary connection to global trade, has seen its physical plant entirely collapse. The number of operational sugar mills plummeted from 156 in 1990 to just 44 in 2021. Due to obsolete machinery and a lack of spare parts, less than half of these remaining mills were able to participate in the 2023 harvest, rendering the industry's derivatives production unsustainable.

  • Construction and Civil Infrastructure: The capacity to rebuild is also degrading. In 2024, Cuba produced only about 50% of the gray cement output it managed in the previous year, severely limiting any capacity for infrastructure regeneration. The nation's physical infrastructure, particularly its road networks, has deteriorated to unprecedented levels, leaving critical transportation routes impassable and further increasing the logistical friction of internal trade.

Simultaneously, the technology and efficiency multiplier ($A_t$) within the MRW equation is stagnating. Total factor productivity (TFP), which measures how efficiently an economy turns its capital and labor inputs into outputs, has suffered from eight consecutive years of steep decline. This persistent degradation has effectively wiped out all the modest productivity gains the nation achieved during the early 2000s. The combination of bureaucratic inefficiencies, state-mandated control over distribution logistics, and deep technological obsolescence has created a persistent production gap. By the end of 2024, the economy operated with an 11% deficit compared to pre-pandemic (2019) levels, leaving basic market demand chronically undersupplied by an estimated 30% to 50%. In CBMT terms, the degradation of $A_t$ depresses the multiplier for all other inputs, suppressing total output ($Y$) and shrinking the asset base that backs the currency.

MRW Production Variable Cuban Economic Status & Empirical Data (2020-2026) Impact on CBMT Currency Valuation ($M_v$)
Labor ($L$) 3% annualized population decline (2024); mass exodus of over 300,000 citizens in 2022. Severely reduces the aggregate capacity pool and ensures high dependency ratios.
Human Capital ($H$) Historically elite (99.9% literacy), but rapidly depleting via the emigration of professionals (e.g., 40,000 healthcare vacancies). Rapid liquidation of the state's premium collateral; lowers the long-term technological ceiling.
Physical Capital ($K$) Negative capital formation rate (-6% in 2022); obsolete, failing energy grid and decimated industrial infrastructure. Massive increases in depreciation ($\delta$); limits the productivity of the remaining labor force.
Efficiency/TFP ($A$) 8 consecutive years of TFP loss; severe logistical bottlenecks and technological obsolescence. Depresses the efficiency multiplier, suppressing total output ($Y$) regardless of labor input.

7. Institutional Jurisprudence and the Realization Rate ($\theta$)

While the deep contraction of the MRW variables explains the loss of theoretical capacity, the stark discrepancy between Cuba's historical human capital investments and its dismal economic reality highlights the absolute centrality of the Institutional Realization Rate ($\theta$) in the Capacity-Based Monetary Theory equation. Theoretical production capacity is economically meaningless if the fruits of labor cannot be secured, traded, and projected into the future. When institutions fail to protect property and enforce contracts, transaction costs approach infinity, and the expected future impact becomes entirely unrealizable.

7.1 Transaction Costs and the Centralized State Apparatus

The institutional frameworks of Douglass North postulate that economies thrive when humanly devised constraints—such as constitutions, laws, and property rights—are designed to encourage market integration, protect investments, and reduce uncertainty in exchange. In high-trust societies with robust rule of law, the realization rate ($\theta$) approaches 1, meaning theoretical capacity is fully realized as economic output. Conversely, in economies dominated by political elites with stakes in preserving the status quo, institutions are often designed to extract rents, resulting in astronomical transaction costs that stifle all productive methods.

In Cuba, the state apparatus controls the vast majority of the economy, and the institutional environment is characterized by infinite transaction costs. Private property rights are fundamentally weak, precarious, and explicitly subordinate to the state. The constitutional recognition of private property only occurred recently in 2019, and the legislative framework to legitimize small and medium-sized enterprises (MSMEs) was not formally passed until 2021. The Bertelsmann Transformation Index (BTI) categorizes property rights in Cuba as exceptionally weak, assigning a dismal rating of 2.5 out of 10. The state retains the arbitrary, unchallengeable power to revoke self-employment licenses, expropriate business assets, and dictate forced collection quotas for agricultural production. This oppressive environment ensures that $\theta$ remains severely depressed. Potential investors—both domestic entrepreneurs and foreign capital—must price in the near-certainty of state interference and regulatory strangulation, effectively raising the discount rate on any long-term investment to prohibitive, uneconomic levels.

7.2 The Frictional Costs of the Dual Exchange Rate System

Prior to its chaotic dissolution in 2021, Cuba operated a deeply distortionary and complex dual-currency system involving the Cuban Peso (CUP) and the Convertible Peso (CUC). The CUC was artificially pegged at a 1:1 ratio to the US dollar for state enterprises and the international sector, while the general public utilized the standard CUP at a rate of 24:1.

This dual-rate regime was a textbook generator of immense institutional opacity and systemic transaction costs. The unprecedented 2,300% spread between the official and parallel exchange rates created a massive quasi-fiscal mechanism that implicitly subsidized highly inefficient state-owned enterprises (SOEs) by granting them access to cheap imported goods, while simultaneously heavily taxing any exporting or import-substituting entities through forced surrender requirements. This architecture segmented the entire economy into "winning" and "losing" sectors based entirely on political proximity and state favor, rather than productive efficiency or market demand. It fostered pervasive, socially destructive rent-seeking behaviors and endemic corruption throughout the state administration. Within the CBMT model, this dual-rate system served as an explicit friction parameter, aggressively lowering $\theta$ by persistently misallocating both physical and human capital away from their highest-impact, most efficient uses.

7.3 Exogenous Shocks and The Hobbesian Trap

The CBMT model suggests that the existence of money requires a stable "Leviathan"—a functional state authority capable of lowering transaction costs and guaranteeing the passage of time necessary for citizens to redeem their claims on the future. The Cuban Leviathan is currently fracturing under the compounded weight of interconnected exogenous and endogenous shocks.

Externally, the island has faced severe economic asphyxiation. The gradual loss of cheap energy subsidies from its strategic ally Venezuela (beginning in 2019), the absolute devastation of the critical international tourism sector during the COVID-19 pandemic, and the severe tightening of the U.S. embargo under the Trump administration (which has largely been maintained by the Biden administration) have choked off the nation's primary sources of foreign exchange. Furthermore, the designation of Cuba as a State Sponsor of Terrorism has effectively severed the island from standard global banking and financial networks, drastically raising the transaction costs and risk premiums associated with any international trade.

Internally, this economic suffocation triggered the unprecedented nationwide protests of July 11, 2021. The state’s response to these demonstrations—swift, brutal suppression, and the meting out of disproportionately long jail sentences to ordinary protesters—fundamentally shattered the government's promise of a "socialist rule of law". When a society transitions away from institutional stability and toward a Hobbesian condition of widespread public dissent countered by state violence, economic agents lose all faith that the future will resemble the past. Following these events, the value of $\theta$ in Cuba plummeted. The resulting societal resignation and despair are the primary behavioral drivers behind the mass exodus; citizens are rationally choosing to physically migrate to institutional environments (such as the United States) that possess a higher $\theta$, where their accumulated human capital ($H$) can generate realized economic returns without the threat of expropriation.

8. Regime-Switching Models and the 2021 Hyperinflationary Shock

The Cuban hyperinflationary crisis of 2021-2026 provides a flawless, textbook application for the integration of regime-switching models within Capacity-Based Monetary Theory. Hyperinflation is rarely driven by a slow, linear expansion of the money supply; it is almost always catalyzed by a sudden, discrete regime shift in the public's perception of the state's institutional viability and its future capacity to produce value. To accurately price the Cuban peso, one must apply the Hamilton Filter, a recursive algorithm that estimates the probability that the economy has transitioned into an unobserved collapse state ($S_t = Collapse$).

8.1 The Tarea Ordenamiento as a Disastrous Regime Shift

In January 2021, the Cuban government aggressively implemented the Tarea Ordenamiento (Economic Reordering Task). This sweeping macroeconomic reform was intended to unify the dual currency system, establish a single fixed exchange rate of 24 CUP to the USD, adjust domestic prices, and scale back universal state subsidies in favor of targeted social assistance.

While the unification of the exchange rates was theoretically necessary to remove the profound institutional distortions outlined previously, the execution occurred at the worst possible macroeconomic moment in modern Cuban history. The economy was already reeling from the pandemic-induced collapse in tourism and a severe, structural lack of foreign exchange reserves. Instead of boosting productivity and clarifying market signals, the reform acted as an immediate, catastrophic supply shock. Because the state lacked the requisite foreign currency reserves to defend the new 24:1 peg in the open market, the official exchange mechanisms immediately froze, and liquidity vanished.

Applying the Hamilton Filter to this historical event, the chaotic implementation of the Tarea Ordenamiento signaled to the market a definitive, irreversible shift from a "Stagnant but Stable" regime to a "Collapse" regime ($S_t = Collapse$). The sudden realization that the state apparatus could no longer guarantee the value of the CUP triggered an immediate, explosive repricing of the currency's fundamental value by the populace. Official state inflation closed 2021 at an estimated 500%, followed by an additional 200% inflation in 2022, entirely destroying the purchasing power of the populace.

8.2 The Monetization of the Fiscal Deficit

As physical output ($Y$) collapsed across all sectors, the state’s tax revenues plummeted concurrently. In a desperate attempt to mitigate the intense social and political fallout of the Tarea Ordenamiento and the accompanying inflation, the government dramatically increased state salaries and pensions. This sequence of events created an enormous, unbridgeable chasm in the national budget.

While Cuba has historically run a structural budget deficit averaging 6.3% of GDP since 2012, the current crisis caused this deficit to balloon out of control, reaching an astonishing 12.3% of GDP in 2024. Furthermore, the state budget for 2025 anticipates a continued fiscal imbalance exceeding 10% of GDP. Because Cuba is entirely locked out of international capital markets due to strict US financial sanctions and a long history of defaults, it cannot issue sovereign debt bonds to foreign buyers to finance this gap. Consequently, the state has been forced to rely on the direct, aggressive monetization of the deficit through the central bank. The state is printing billions of CUP without any corresponding backing in productive assets, foreign exchange reserves, or physical output.

In the formal mathematical framework of CBMT:

$$M_v = \frac{\theta(Y_t)}{M_2} - \pi(S_t = Collapse)$$

The denominator of this equation—the M2 money supply—is expanding at an exponential rate purely to cover administrative state expenditures, while the numerator—the realizable productive capacity of the island—is rapidly shrinking due to demographic collapse, failing physical infrastructure, and immense institutional friction. The mathematical inevitability of this divergence is hyperinflation. Every peso-based wage, savings account, and state pension is being eroded almost overnight, as the state effectively shifts the cost of its economic adjustment onto the most vulnerable sectors of society.

Macroeconomic Indicator 2021 2022 2023 2024
Real GDP Growth 1.3% (Slight Rebound) 1.5% -1.3% -2.0% (Estimated Contraction)
Fiscal Deficit (% of GDP) ~11.6% ~9.5% ~8.0% 12.3%
Official Inflation Rate ~500% ~200% 31% 25% (Real street inflation vastly higher)
Informal Exchange Rate (CUP/USD) ~70 ~170 ~265 350 - 400+

(Data amalgamated from ONEI, EIU, World Bank, and independent macroeconomic reporting )

9. Signaling Theory, Dollarization, and the Informal Exchange Oracle

To survive in a hyperinflationary environment where the domestic currency no longer functions as a reliable store of value or a medium of exchange, the Cuban populace and the emerging private sector have been forced to rapidly adapt. The Capacity-Based Monetary Theory integrates Amotz Zahavi’s Handicap Principle and Michael Spence’s signaling mathematics to explain how market participants navigate these high-friction, low-trust environments by utilizing alternative currencies to prove their economic capacity.

9.1 Assortative Matching and the Proof of Surplus Capacity

In the CBMT framework, the expenditure or possession of difficult-to-acquire capital serves as a reliable, hard-to-fake signal of an economic agent's surplus capacity and their potential for future impact. In modern Cuba, this vital economic signaling mechanism has transitioned entirely away from the collapsing national currency toward hard foreign currency (primarily USD and Euros) and the digital Moneda Libremente Convertible (MLC).

The government’s introduction of MLC stores—which sell essential food items, home appliances, and basic hardware exclusively in foreign currency via specialized debit cards—was a desperate attempt by the state to capture circulating hard currency from the populace. However, this policy birthed a deeply segmented, heavily dollarized economy. Access to USD or MLC serves as a hard "Handicap Principle" filter. Because the state does not pay its employees in USD (the average monthly state salary of roughly 6,500 CUP equates to a mere $16-$17 USD on the informal market), holding foreign currency definitively proves that an individual has access to external remittance networks or successfully operates within the lucrative, dollarized private and tourism sectors.

By operating exclusively in foreign currencies, private businesses and successful individuals engage in "Assortative Mating" within the economic sphere, a dynamic perfectly modeled by Michael Kremer's O-Ring Theory of Economic Development. High-capacity individuals and businesses choose to transact only with other high-capacity entities using USD or MLC. They effectively bypass the state’s collapsing CUP-based production chain entirely, because accepting CUP introduces the fatal risk of sudden, severe devaluation—akin to a low-skill worker making a mistake that destroys the value of an entire complex production chain.

9.2 The Private Sector and the AI Pricing Oracle

Despite facing immense regulatory hurdles and state suspicion, non-state Micro, Small, and Medium Enterprises (MSMEs) have become the primary engine of basic survival in Cuba. Remarkably, the private sector met an estimated 55% of total retail demand in 2024, a significant increase from 44% in 2023. Because the formal state banking system suffers from severe illiquidity and a total lack of hard currency, these private actors are forced into the informal market to obtain the foreign exchange necessary to import goods and maintain their operations.

The private sector is effectively attempting to reconstruct the Institutional Realization Rate ($\theta$) from the ground up, relying on localized, high-trust networks and direct foreign supply chains to bypass the macro-level Hobbesian friction of the central state apparatus. However, with the official exchange rate (which the government adjusted from 24:1 to 120:1 for individuals) acting as a rigid, artificial construct with absolutely no underlying liquidity, the true valuation of the state's future capacity must be discovered elsewhere.

This price discovery occurs on the informal market, tracked by independent, AI-driven platforms such as El Toque. By scraping data from social media and informal trading groups, El Toque provides the only reliable volatility index of the Cuban peso. In late 2025, this informal rate breached the devastating threshold of 400 CUP/USD, accelerating rapidly toward 450 and 500 CUP/USD. This massive divergence between the official and informal rates measures the precise magnitude of the institutional fiction perpetuated by the state. The informal rate serves as a real-time, empirical manifestation of the Hamilton Filter update step: every time the national power grid fails, every time the government monetizes a new fiscal deficit, and every time thousands of highly educated citizens emigrate, the collective market algorithmically downgrades the probability of future impact, spiking the discount rate, and pushing the CUP/USD ratio ever higher.

10. Conclusion: The Terminal Valuation of the Cuban Economy

The Cuban economic crisis provides a stark, tragic, and mathematically precise validation of Capacity-Based Monetary Theory. Money is unequivocally a claim on the future productive capacity of a civilization. For over six decades, the Cuban state invested heavily in the Human Capital ($H$) of its population, creating a theoretical capacity for immense economic output that was the envy of the developing world. However, by simultaneously imposing an institutional architecture that maximized transaction costs, destroyed market price signaling, and chronically underinvested in physical capital, the state systematically pushed the Institutional Realization Rate ($\theta$) toward absolute zero.

The Tarea Ordenamiento in 2021 was merely the structural catalyst that forced the market to finally and accurately price these underlying realities. Deprived of essential foreign subsidies, isolated from global financial networks, and facing a terminal demographic collapse, the state resorted to printing unbacked fiat currency merely to sustain its own administrative existence.

Applying the comprehensive CBMT formulation to the Cuban reality yields a grim calculus. The labor force and human capital are in a state of active, physical depletion due to a massive, structural brain drain. Physical capital is deteriorating exponentially, manifesting as a crumbling energy grid and a collapsed industrial base. The institutional friction remains insurmountable due to a monolithic state apparatus that restricts private enterprise and relies on the suppression of dissent. Consequently, the discount rate on the future has spiked to hyperinflationary levels because the market correctly interprets state actions as a permanent collapse of the fiscal-monetary social contract.

When the efficiency, physical capital, human capital, raw labor, and institutional integrity of a nation are all trending steeply downward, while the supply of money expands infinitely to cover non-productive government deficits, the value of the currency approaches zero asymptotically. The hyperinflation tracked mercilessly by the informal exchange rate is not an anomaly; it is the market's declaration that it no longer expects the Cuban state to possess the capacity to redeem its fiat liabilities. Until comprehensive structural reforms restore the integrity of property rights, incentivize the accumulation of physical capital, and halt the desperate exodus of human capital, the Cuban peso will remain a liability without collateral, destined for continuous devaluation in the shadow of a stalled economic engine.

Download PDF
Download PDF
Read More
Economics, Politics Joshua Smith Economics, Politics Joshua Smith

Why Lobbying is bad for the Economy

1. Introduction: The Monetary Ontology of Influence

The valuation of a nation's currency and the trajectory of its economic growth are frequently analyzed through the lenses of traditional macroeconomic indicators: interest rates, fiscal deficits, trade balances, and inflation targets. These metrics, while useful for short-term navigation, often fail to capture the deep structural assets that underwrite the long-term viability of a civilization's economy. The fundamental question of what constitutes money—and by extension, what constitutes the value of the economy it represents—requires an ontological shift. The Capacity-Based Monetary Theory (CBMT) offers this necessary framework, positing that money is not merely a medium of exchange or a static store of value, but a "floating-price claim on the future productive capacity of an economy". Within this theoretical architecture, the stability and value of the United States Dollar are not ultimately determined by the Federal Reserve's open market operations, but by the underlying Production of Impact ($Y$) and the Institutional Realization Rate ($R_I$) of the American socio-economic engine.

The central inquiry of this comprehensive research report is to determine the aggregate economic impact of lobbying within the United States government when viewed through the rigorous constraints of the CBMT framework. The practice of lobbying—defined as the expenditure of resources by private entities to influence the allocation of public goods, regulatory frameworks, and legislative outcomes—has grown into a multi-billion dollar industry that permeates every stratum of the federal government. Conventional political science and economic theory offer bifurcated and often contradictory views on this phenomenon. The "Legislative Subsidy" theory suggests that lobbying acts as a critical mechanism for information transmission, enhancing legislative efficiency by providing resource-constrained policymakers with the technical expertise required to govern complex systems. Conversely, the "Rent-Seeking" theory posits that lobbying is a parasitic extraction of value, a mechanism by which agents capture wealth without contributing to societal output, thereby distorting markets and eroding economic efficiency.

This report utilizes the axioms of CBMT to adjudicate between these opposing perspectives. By mapping the mechanics of lobbying onto the CBMT production function—specifically the variables of Efficiency Capacity ($A$), Human Capital ($H$), and the Institutional Realization Rate ($R_I$)—we derive a deterministic conclusion regarding its net effect on the fundamental value of the US economy. The analysis proceeds from the core CBMT equation for the Fundamental Value of Money ($V_M$):

$$V_M = P(Y \cdot R_I \cdot (1 - \text{Risk}_{Regime}))$$

Where the aggregate production of impact ($Y$) is defined by the Augmented Solow-Swan model:

$$Y = K^\alpha H^\beta (AL)^{1-\alpha-\beta}$$

The thesis of this report is that while lobbying may offer isolated instances of informational utility—effectively a localized increase in the efficiency parameter ($A$) for specific legislative tasks—its aggregate effect on the United States economy is profoundly negative. The evidence suggests that lobbying functions as a mechanism of Capacity Destruction rather than capacity creation. It achieves this destructive compounding effect through three primary vectors:

  1. The Suppression of Efficiency ($A$): By erecting barriers to entry that protect incumbents from "creative destruction," lobbying lowers the Solow Residual, the primary driver of long-term growth. Structural models indicate that eliminating lobbying could increase aggregate US productivity by over 6%.

  2. The Misallocation of Human Capital ($H$): By creating high returns for rent-seeking activities, lobbying diverts the nation's cognitive elite from productive "Impact Generation" (engineering, science, entrepreneurship) into zero-sum redistributive contests, effectively sterilizing a significant portion of the nation's human capital stock.

  3. The Degradation of the Institutional Realization Rate ($R_I$): By eroding the "Social Contract" and public trust, lobbying increases transaction costs and introduces a high "Regime Risk" premium. The privatization of the "Leviathan" creates a fragility that the Hamilton Filter detects as an increased probability of systemic collapse.

Therefore, under the strict ontology of Capacity-Based Monetary Theory, lobbying acts as a persistent deflationary force on the intrinsic value of the nation's future capacity. It represents a "false asset" on the balance sheet of the United States—a liability of influence masquerading as an asset of coordination. This report will systematically dissect these mechanisms, providing a detailed accounting of how political influence is priced into the future of the American economy.

2. The Physics of Value: A Primer on Capacity-Based Monetary Theory

To rigorously evaluate the economic impact of lobbying, one must first establish the "Physics of Value" as defined by Capacity-Based Monetary Theory (CBMT). Standard economic models often treat money as a neutral veil over real economic activity. CBMT, however, argues that money is a liability that must be balanced by a corresponding asset: the Expected Future Impact of the society that issues it. This definition transforms the practice of economics from the management of exchange to the management of capacity.

2.1 The Production Function of Impact ($Y$)

The core "collateral" of the US economy—the asset that backs the dollar—is its ability to generate real output, termed "Impact" ($Y$). In the CBMT specification, this is not a vague concept but a quantifiable vector function driven by the Augmented Solow-Swan growth model. This model departs from the standard Solow model by treating Human Capital not merely as labor, but as an accumulable asset class. The production function is expressed as:

$$Y(t) = K(t)^\alpha H(t)^\beta (A(t)L(t))^{1-\alpha-\beta}$$

Where:

  • $Y(t)$ represents the total "Impact" or production of the economy at time $t$. This is the tangible output of goods, services, and innovations that give the currency purchasing power.

  • $K(t)$ is the stock of Physical Capital (infrastructure, machinery, factories).

  • $H(t)$ is the stock of Human Capital (skills, education, health, cognitive capacity). CBMT emphasizes that $H$ is an asset that depreciates and requires constant replenishment through investment (education, training).

  • $L(t)$ is the raw labor force (headcount).

  • $A(t)$ is the Efficiency Capacity or "Labor-Augmenting Technology." This variable, often called the Solow Residual, captures the effectiveness with which society combines its capital and labor. It encompasses technology, organizational management, and the efficiency of resource allocation.

  • $\alpha$ and $\beta$ are the elasticities of output with respect to physical and human capital, respectively.

In the context of evaluating lobbying, this equation provides the rubric for judgment. If lobbying is "positive," it must demonstrably increase the growth rate of $K$, $H$, or $A$. If it impedes the accumulation or efficiency of these factors, it is "negative."

2.2 The Institutional Realization Rate ($R_I$)

A critical innovation of CBMT is the recognition that theoretical production capacity is meaningless if the institutional environment prevents its realization. A society may have vast oil reserves ($K$) and brilliant engineers ($H$), but if it lacks the Rule of Law, contracts cannot be enforced, and output cannot be secured. CBMT formalizes this as the Institutional Realization Rate ($R_I$), a coefficient between 0 and 1.

$$\text{Realized Impact} = Y \cdot R_I$$

$R_I$ is a function of the "Leviathan's" effectiveness—specifically the stability of the social contract, the enforcement of property rights, and the minimization of transaction costs.

  • High Trust / Low Corruption: In a high-trust regime (e.g., Switzerland), $R_I$ approaches 1. Theoretical capacity is fully converted into realizable value.
  • Low Trust / High Rent-Seeking: In a corrupted or chaotic regime, $R_I$ approaches 0. Even with high potential $Y$, the actual value realizable by a currency holder is low because the "transaction costs" of engaging with the economy are prohibitive.

Lobbying interacts most directly with this variable. If lobbying is a form of "Legislative Subsidy" that helps the Leviathan create clearer, better laws, it could theoretically increase $R_I$. However, if it is a form of "Institutional Corruption" that sells access to the highest bidder, it introduces friction, lowers trust, and degrades $R_I$.

2.3 The Time-Value of Impact and Regime Risk

The value of money is a claim on the future. Therefore, the discount rate applied to future impact is paramount. CBMT utilizes the Hamilton Filter (Hamilton, 1989) to price the risk of a "Regime Shift".

  • Stable Regime: The economy functions under predictable rules. The discount rate is determined by time preference and growth expectations.
  • Collapse Regime: The institutional order breaks down (e.g., hyperinflation, civil unrest, massive regulatory failure). In this state, the probability of redeeming the claim on future impact drops to zero.

The Regime Risk Premium is the market's pricing of the probability of shifting from Stability to Collapse.

$$V_M = Y \cdot R_I \cdot (1 - P(\text{Collapse}))$$

Lobbying influences this probability. By altering the stability of the social contract and the fragility of financial systems (as seen in 2008), lobbying can spike the $P(\text{Collapse})$ variable, leading to a massive devaluation of the currency's fundamental worth.

3. The Efficiency Paradox: Legislative Subsidy vs. Rent Extraction

To determine the sign (positive or negative) of lobbying's effect on the CBMT variables, we must first adjudicate the debate regarding its economic function. The academic literature presents a dichotomy: lobbying as a productive input (Subsidy) versus lobbying as a destructive extraction (Rent-Seeking).

3.1 The "Legislative Subsidy" Hypothesis: The Case for Efficiency ($A$)

Proponents of the "Legislative Subsidy" theory, most notably Hall and Deardorff (2006), argue that lobbying is a rational response to the resource constraints of the modern state. Legislators are generalists who must vote on thousands of complex issues—from nuclear energy standards to derivatives regulation—with limited time and staff. In this view, lobbyists act as "adjunct staff" who provide a Legislative Subsidy:

  1. Policy Information: They supply technical details, draft language, and impact assessments that the legislator lacks the capacity to generate internally.
  2. Political Intelligence: They provide data on how constituents and other stakeholders will react to proposed policies.

Under CBMT, if this transfer of information allows for the creation of more efficient regulations—regulations that minimize deadweight loss, correct externalities, or speed up the adoption of new technologies—then lobbying would positively impact the Efficiency Capacity ($A$).

  • Example: In the green energy sector, lobbyists for wind and solar industries provide technical data to Congress regarding grid integration and cost curves. If this information accelerates the transition from a low-efficiency carbon economy to a high-efficiency renewable economy, the lobbyist has effectively increased the aggregate $A$ of the nation.

  • Institutional Benefit: Theoretically, this subsidy lowers the cost of legislating. By "outsourcing" research to the private sector, the government can function with a smaller budget while maintaining high regulatory output. This could arguably improve the Institutional Realization Rate ($R_I$) by making the government more responsive.

3.2 The Rent-Seeking Reality: The Case for Capacity Destruction

However, the empirical evidence overwhelmingly supports the Rent-Seeking interpretation, which is diametrically opposed to the generation of Impact ($Y$). Rent-seeking is defined in economic literature as "gaining wealth without contributing to societal wealth". In the CBMT framework, rent-seeking is a mechanism of allocation without production.

The fundamental flaw in the "Legislative Subsidy" argument is the Asymmetry of the Subsidy. The subsidy is not provided to all legislators to solve all problems in the public interest; it is provided selectively to allies to advance specific private interests. This selective subsidy distorts the legislative agenda, prioritizing issues that generate private rents over those that generate public Impact.

The Mechanics of Rent Extraction:

  • Zero-Sum Redistribution: When a firm lobbies for a tariff, a subsidy, or a tax loophole, it is engaging in a zero-sum game. The gain to the firm is exactly offset by the loss to consumers (higher prices) or taxpayers (lost revenue). There is no increase in aggregate $Y$. In fact, $Y$ decreases due to the deadweight loss of taxation and the distortion of price signals.
  • Negative-Sum Resource Diversion: The resources spent on lobbying—billions of dollars annually in salaries, offices, and campaign contributions—are resources diverted from productive investment. Every dollar spent on a lobbyist is a dollar not spent on $K$ (machinery) or $H$ (training) or $RnD$ (innovation).
  • Distortion of Information: While lobbyists provide information, it is often biased or deceptive. This introduces "noise" into the legislative signal, leading to suboptimal policies that degrade $A$ rather than enhance it.

Table 1: CBMT Comparative Analysis of Lobbying Functions

Lobbying Function CBMT Variable Impact Mechanism Net Economic Effect
Legislative Subsidy Increases $A$ (local)


Increases $R_I$ (potential) | Reduces information asymmetry; accelerates policymaking. | Ambiguous: Positive only if the policy aligns with public welfare; negative if it serves narrow interests. | | Rent-Seeking | Decreases $Y$ (aggregate)


Decreases $R_I$ | Diverts resources from production; distorts market signals; erodes trust. | Negative: Pure deadweight loss; value extraction without value creation. | | Barriers to Entry | Decreases $A$ (Solow Residual) | Protects incumbents from competition; prevents "creative destruction." | Highly Negative: Stalls technological progress and lowers aggregate productivity. | | Regulatory Capture | Decreases $R_I$


Increases Risk | Subverts the "Leviathan"; aligns state power with private profit. | Catastrophic: Increases Regime Risk ($Risk_{Regime}$) and systemic fragility. |

The preponderance of evidence suggests that the "Subsidy" aspect is merely the method by which "Rent-Seeking" is achieved. The information provided is the "payment" for the rent. The lobbyist effectively says, "Here is the work done for you (Subsidy); now give me the regulation I want (Rent)."

4. The Suppression of Aggregate Efficiency ($A$): The Stagnation of the Solow Residual

The variable $A$ in the CBMT production function ($Y = K^\alpha H^\beta (AL)^{1-\alpha-\beta}$) represents the efficiency with which labor and capital are combined. This is the Solow Residual, the "manna from heaven" that drives the rise in living standards. It is driven by technological innovation ($RnD$) and market dynamism (Creative Destruction). The research indicates that lobbying acts as a profound drag on $A$ through the mechanism of Misallocation and Barriers to Entry.

4.1 Barriers to Entry and the Prevention of Creative Destruction

A healthy capitalist economy relies on the Schumpeterian process of "creative destruction," where new, high-efficiency firms replace older, low-efficiency incumbents. Lobbying is the primary tool used by incumbents to arrest this process.

  • Regulatory Moats: Incumbents lobby for complex regulations that they can afford to comply with (due to scale) but which act as insurmountable barriers for startups. This increases the "fixed cost" of entering the market. For example, excessive licensing requirements or complex compliance regimes protect established firms from lean, innovative challengers.

  • Impact on Startups: Research by Palagashvili and Suarez (2020) indicates that industries with heavier regulation (often driven by lobbying) exhibit lower rates of startup entry and higher rates of closure.

  • CBMT Implication: By preventing high-$A$ startups from entering the market and replacing low-$A$ incumbents, lobbying lowers the aggregate efficiency of the economy. The "Future Impact" ($Y$) is permanently lower than it would be in a competitive market because the economy is composed of older, less efficient firms.

4.2 The Quantitative Cost of Misallocation: The Huneeus and Kim Model

The distinction between firm-level productivity and aggregate productivity is crucial for understanding the insidious nature of lobbying.

  • The Firm-Level Illusion: Some studies suggest that firms that lobby are more productive or have higher stock returns. For instance, a 1% increase in lobbying expenditures is associated with a 0.057% increase in firm-level Total Factor Productivity (TFP). This might lead a superficial analysis to conclude lobbying is positive.

  • The Aggregate Reality: However, this firm-level gain comes at the expense of the broader economy. A pivotal study by Huneeus and Kim (2021) utilizes a structural model to isolate the effects of lobbying on resource allocation. Their findings are damning for the pro-lobbying argument: eliminating lobbying would increase aggregate productivity in the U.S. by 6%.

  • Mechanism of Misallocation: Lobbying distorts the size of firms. In an efficient market, firm size correlates perfectly with productivity (High $A \to$ Large Size). Lobbying breaks this correlation. Low-productivity firms with high political connections (High Lobbying) grow artificially large because they receive subsidies, tax breaks, or regulatory protection. This traps capital ($K$) and labor ($L$) in inefficient firms, lowering the aggregate $Y$.

  • The Dynamic Channel: When accounting for the dynamic effects on innovation and entry over time, the productivity gain from eliminating lobbying could be 50% higher than the static estimate. This is because lobbying reduces the incentive for all firms to innovate. Why invest in risky R&D to improve $A$ when you can invest in safe lobbying to protect your market share?

Synthesized Insight: The discrepancy between firm-level success and aggregate failure is the definition of Rent-Seeking. Lobbying allows inefficient firms to survive and grow by capturing political favors rather than by improving their intrinsic $A$. Under CBMT, this is a "false signal" of capacity. The currency is backed by an economy that is 6% to 9% less productive than its potential, representing a significant devaluation of the "Future Impact" claim.

4.3 Case Study: The Steel Industry and "Buy American"

The US steel industry provides a stark historical example of how lobbying retards $A$.

  • Since the 1960s, the US steel industry has been in decline relative to global competitors.

  • Instead of investing in modernization ($K$) and new technologies ($A$), the industry invested heavily in lobbying for protectionist measures, such as "Buy American" provisions and tariffs.

  • Lobbying Spending: Steel lobbying increased from \$4.8 million in 2000 to \$12.18 million in 2018, even as production remained constant or declined.

  • Result: The protectionism allowed US steel producers to remain profitable without becoming efficient. They operated with older technology and higher costs than their international peers. This imposed a cost on every US industry that consumes steel (construction, automotive), lowering the efficiency of the entire downstream economy. The "protection" of one sector's $Y$ came at the cost of the aggregate $A$.

4.4 Case Study: The Green Transition

The energy sector illustrates the battle over the future of $A$.

  • Incumbent Resistance: Fossil fuel companies have spent vast sums lobbying to delay climate regulations and renewable energy subsidies. This is an attempt to artificially extend the life of their sunk capital ($K$) at the expense of technological progress.

  • Innovation Delay: By blocking the price signals (e.g., carbon taxes) that would drive investment into high-efficiency renewables, lobbying delays the shift to the technological frontier.

  • CBMT Analysis: If the technological frontier ($A$) dictates a move to high-efficiency renewables, and lobbying delays this transition, then lobbying is actively suppressing the growth of $Y$. It forces the economy to operate on a lower efficiency curve for decades longer than necessary.

5. The Distortion of Human Capital ($H$): The Misallocation of Talent

In CBMT, Human Capital ($H$) is treated as an independent factor of production, an asset accumulated through investment in education and skills. The value of money depends on the magnitude of $H$ and its application to impact generation. However, lobbying distorts the allocation of this critical asset, leading to a phenomenon known as the Misallocation of Talent.

5.1 The Murphy, Shleifer, and Vishny Framework

The seminal work of Murphy, Shleifer, and Vishny (1991) provides the theoretical underpinning for this distortion. They argue that a country's growth rate is determined by the allocation of its most talented individuals between two primary sectors:

  1. Entrepreneurial Sector: Activities that increase the size of the economic pie (Engineering, Science, Production).
  2. Rent-Seeking Sector: Activities that redistribute the existing pie (Lobbying, Litigation, portions of Finance).

The Brain Drain Mechanism:

  • Lobbying creates a high-return career path for highly educated individuals. The "Revolving Door" phenomenon sees former Congressmen, staff, and regulators moving into high-paying lobbying jobs.
  • Wage Premium: Because rents can be enormous (a single line in a tax bill can be worth billions), the returns to rent-seeking often exceed the returns to production. This attracts the "best and brightest" ($H$) into the rent-seeking sector.
  • Opportunity Cost: When a brilliant mind with a law degree or an economics PhD chooses to become a lobbyist to navigate complex regulations (which ostensibly exist due to previous lobbying), that unit of human capital is removed from the pool available for productive work. It is "negative sum" labor.

CBMT Implication: The variable $H$ in the production function effectively shrinks.

$$H_{effective} = H_{total} - H_{rent_seeking}$$

As the lobbying industry grows (spending billions annually ), it absorbs a growing fraction of the nation's elite $H$. This reduces the $\beta$ elasticity of output with respect to human capital in the productive sector. The "Expected Future Impact" of the society declines because its best minds are fighting over the distribution of the pie rather than baking a larger one.

5.2 Lobbying and "Fitness Interdependence"

CBMT proposes "Fitness Interdependence" as a way firms create cooperative structures to maximize efficiency. Ideally, this interdependence is between the firm and the society (shared fate) or between employees and the firm. However, lobbying creates a pathological interdependence.

  • Firms begin to perceive that their survival depends more on their relationship with the regulator (Lobbying) than on their relationship with the consumer (Innovation).
  • Corporate Culture Shift: This shifts the internal culture of the firm. The "hero" of the corporation becomes the Government Relations Officer who secured the tax break, not the Lead Engineer who designed the new product.
  • Signal to the Workforce: This signals to the broader workforce that "Impact" is generated in the halls of Congress, not in the R&D lab, altering the incentive structure for skill acquisition across the entire population. Young people choose careers in Law and Political Science over STEM, further reinforcing the decline in $A$ and $H_{effective}$.

6. The Degradation of the Institutional Realization Rate ($R_I$)

Perhaps the most damaging effect of lobbying under the CBMT framework is its impact on the Institutional Realization Rate ($R_I$). As defined in CBMT, $R_I$ represents the efficiency of the "Social Contract" or the "Leviathan" in securing rights and reducing transaction costs.

$$R_I = f(\text{Trust, Rule of Law, Corruption, Transaction Costs})$$

If $R_I$ degrades, the value of the currency falls even if physical production capacity remains constant. The evidence suggests lobbying is a primary driver of this degradation.

6.1 The Erosion of Public Trust

Data consistently shows a strong negative correlation between the perception of lobbying influence and public trust in government.

  • Historic Lows: Trust in the US government has plummeted to historic lows, hovering between 20% and 33%.

  • Perception of Capture: A vast majority of citizens perceive that policies are shaped by powerful interest groups rather than by the needs of the people. They view the system as "rigged."

  • CBMT Mechanism: Trust is a component of the "institutional social contract that allows labor to project value into the future". When trust collapses, the "discount rate" for future cooperation increases. Agents become short-termist. Compliance with laws decreases, and enforcement costs rise. The $R_I$ coefficient drops. If $R_I$ drops from 0.9 to 0.7, the intrinsic value of the currency drops by ~22%, regardless of the physical productivity ($Y$).

6.2 Institutional Corruption and the "Privatization of the Leviathan"

Professor Lawrence Lessig defines "Institutional Corruption" not as simple bribery (illegal exchange), but as a systemic influence that deflects an institution from its purpose.

  • Dependency: Lobbying creates a dependency of legislators on private funding (campaign contributions) to retain power. This dependency forces them to serve the funders (Lobbyists) rather than the public.
  • The Privatization of State Power: This results in the effective privatization of the Leviathan. The state's power to enforce contracts, set rules, and allocate rights is auctioned off to the highest bidder.
  • Exclusionary Transaction Costs: A "Privatized Leviathan" has a lower $R_I$ because it introduces exclusionary transaction costs. Justice and favorable regulation become private goods available only to those who can afford to lobby. For the vast majority of economic agents (SMEs, startups, individuals), the state becomes less responsive and more obstructive. This effectively shrinks the "Realizable Impact" for the majority of the economy.

6.3 Comparative Analysis: Switzerland vs. Canada

A comparative analysis of lobbying perceptions in Switzerland and Canada highlights the importance of $R_I$.

  • Switzerland: High trust in political institutions correlates with a perception that lobbying is part of a consensus-building process (Legislative Subsidy). The "Social Contract" is intact. $R_I$ is high.
  • Canada/US: In systems where lobbying is viewed as a tool for special interests to bypass the public will, trust is lower.
  • The Regulatory Factor: Interestingly, the research suggests that robust regulation of lobbying is more important than abstract trust. When citizens believe lobbying is unregulated and opaque (as is often the perception in the US despite disclosure laws), they discount the legitimacy of the state. This discount is priced into the $R_I$.

6.4 Regulatory Complexity as a Transaction Cost

Lobbying drives the expansion of regulatory complexity.

  • The Complexity Spiral: Large firms lobby for complex rules that act as barriers to entry (as discussed in Section 4.1). They essentially weaponize the bureaucracy.
  • Impact on $R_I$: Complexity increases Transaction Costs. In CBMT, the "Hobbesian State" is one of infinite transaction costs ($R_I = 0$). While the US is not a failed state, moving towards higher complexity pushes the system toward the Hobbesian limit.
  • Deadweight Loss: Every additional page of regulation generated by lobbying adds friction to the $Y$ function. It requires more $H$ (lawyers/compliance officers) to navigate, further diverting resources from production. The "Institutional Realization Rate" falls because it becomes harder and more expensive to realize any value from one's labor.

7. Sectoral Analysis: The Financial Sector and Systemic Risk

The interaction between lobbying and the financial sector provides the most potent illustration of how influence can generate Regime Risk, a key variable in the CBMT valuation equation.

$$V_M = Y \cdot R_I \cdot (1 - P(\text{Collapse}))$$

7.1 The 2008 Financial Crisis: A Case Study in Regime Risk

The 2008 Financial Crisis was not merely a market failure; it was a failure of the institutional realization rate driven by lobbying.

  • Deregulation Lobbying: For decades leading up to 2008, the financial sector spent hundreds of millions lobbying to dismantle the Glass-Steagall Act and to prevent the regulation of over-the-counter derivatives (CDOs, CDSs).
  • The "Regulatory Blind Spot": This lobbying succeeded in creating a "Regulatory Blind Spot." The regulators (the Leviathan) were blinded to the accumulation of systemic risk.
  • The Collapse: When the housing bubble burst, the opacity and interdependence created by this deregulation led to a near-total collapse of the global financial system.
  • CBMT Analysis: The lobbying did not create efficiency ($A$); it created fragility. It allowed firms to externalize tail risks onto the public balance sheet. The massive spike in "Regime Risk" (the near collapse of the payment system) demonstrated that the "Future Impact" backing the currency was far less secure than assumed.

7.2 The Hamilton Filter and Policy Volatility

CBMT uses the Hamilton Filter to detect shifts in regime probability. Lobbying introduces noise into this filter.

  • Volatility: By allowing policy to be bought and sold, lobbying makes the regulatory environment more volatile. A change in administration or a shift in lobbying power can lead to radical swings in policy (e.g., environmental regulations swinging from strict to loose and back again).
  • Investment Chill: This volatility increases the discount rate for long-term investment. Firms are less likely to invest in 20-year infrastructure projects ($K$) if they cannot predict the regulatory regime.
  • Risk Premium: The market prices this volatility into the currency. A currency backed by a volatile, lobby-driven regime trades at a discount compared to one backed by a stable, consensus-driven regime (like the Swiss Franc).

7.3 Quantifying the Impact

Research by Zaourak (2018) calibrates a model to US data and finds that lobbying for capital tax benefits, combined with financial frictions, accounted for 80% of the decline in output and almost all the drop in TFP during the crisis for the non-financial corporate sector.

  • This is a staggering finding. It suggests that the "Impact" ($Y$) of the real economy was decimated not just by the financial shock itself, but by the misallocation of resources driven by lobbying during the crunch. Lobbying amplified the crisis, deepening the "Regime Risk" event.

8. Theoretical Counter-Arguments: The Signaling Utility

To ensure this report is exhaustive and nuanced, we must consider the theoretical counter-arguments where lobbying could be viewed as creating positive value under CBMT, and why these arguments ultimately fail in the aggregate.

8.1 Signaling Capacity ($Y$) via "Burning Capital"

Using the Signaling Theory component of CBMT (derived from Zahavi’s Handicap Principle), one could argue that a firm lobbying is akin to the diamond ring: it is a costly signal that proves the firm is "High Impact".

  • The Argument: If lobbying is expensive, only high-productivity firms with surplus capital can afford to do it. Therefore, lobbying acts as a filter, helping the government identify "winners" to partner with for contracts or subsidies. This solves an information asymmetry.
  • The CBMT Rebuttal: The evidence suggests that lobbying is often a substitute for productivity, not a complement. "Declining industries" (e.g., steel, old-line manufacturing) often lobby more to protect their dying business models. In this case, lobbying is a False Signal or a Mimicry. In biological terms, it is the Batesian mimicry where a harmless (low capacity) species mimics the warning signals of a dangerous (high capacity) one. The lobbyist mimics the signal of "importance" to extract rents, masking the reality of obsolescence. This degrades the information quality of the entire economic system.

8.2 The "O-Ring" Filter and Elite Coordination

CBMT mentions the O-Ring Theory of Economic Development to explain the agglomeration of elite networks. One could argue that lobbying networks in Washington DC act as an "elite cluster" that maximizes high-level coordination between the public and private sectors.

  • The Argument: By bringing together the most powerful corporate leaders and the most powerful legislators, lobbying facilitates "Assortative Mating" of ideas and capital, leading to high-efficiency outcomes for the "O-Ring" chain (the critical path of the economy).
  • The CBMT Rebuttal: While this maximizes coordination for the insiders, it does so by excluding the outsiders. This creates an Oligarchic Equilibrium. The "O-Ring" chain becomes strong within the lobbying network but brittle for the economy as a whole. As noted in the discussion of $R_I$, an economy that works only for the elites has a low aggregate Realization Rate. The "Assortative Mating" becomes a closed loop of rent-extraction rather than an open loop of value creation.

8.3 The Transparency Defense

Some research suggests that transparent lobbying can support institutional quality.

  • The Argument: If lobbying is fully disclosed, it allows for public scrutiny and ensures that all stakeholders can participate, leading to a "pluralistic" equilibrium that is efficient.
  • The Reality: While transparency is a mitigating factor, it does not alter the fundamental incentives of rent-seeking. Even with disclosure, the resource imbalance means that large corporations dominate the "market for influence." Transparency illuminates the rent-seeking, but it does not stop it. As the snippets note, "excessive lobbying can erode public trust" even if it is legal.

9. Conclusion: The Deflationary Verdict

Based on the rigorous application of the Capacity-Based Monetary Theory (CBMT) framework, the analysis concludes that the lobbying of the United States government has had an overall negative effect on the value of the nation's currency and its economic trajectory.

While the "Legislative Subsidy" model identifies a functional utility in lobbying—specifically the lubrication of the policymaking machinery through information provision—this benefit is vastly outweighed by the structural degradation lobbying inflicts on the core variables of the nation's production function.

Summary of CBMT Impact Analysis:

CBMT Variable Effect of Lobbying Magnitude Mechanism of Action
Efficiency ($A$) Negative High (-6% to -9% GDP) Barriers to entry; misallocation of resources to low-productivity incumbents; suppression of innovation (Solow Residual).
Human Capital ($H$) Negative Medium-High Misallocation of talent ("Brain Drain") into rent-seeking sectors; distortion of corporate culture and incentive structures.
Realization Rate ($R_I$) Negative High Privatization of the Leviathan; erosion of public trust; increase in transaction costs and regulatory complexity.
Regime Risk Positive (Bad) Critical (Tail Risk) Increased probability of systemic collapse ($P(\text{Collapse})$) due to fragility (e.g., 2008 Financial Crisis) and polarization.

The Valuation Adjustment:

In the ontology of CBMT, money is a bet on the future capacity of a society. Lobbying essentially rigs this bet. It ensures short-term payouts for a concentrated few while degrading the long-term capacity of the whole. It is a mechanism of Value Extraction, not Impact Production.

If we were to price the US Dollar strictly according to CBMT, accounting for the "Lobbying Discount," the valuation would be significantly lower than the market price suggests.

  • The Efficiency Discount ($1 - \delta_A$) accounts for the 6% lost productivity.
  • The Institutional Discount ($1 - \delta_{Trust}$) accounts for the frictional costs of a low-trust environment.
  • The Risk Premium ($1 - P_{Collapse}$) accounts for the fragility of the financial system.

$$V_{Corrected} \approx V_{Nominal} \times 0.94 \times 0.90 \times (1 - Risk)$$

This implies that lobbying imposes a hidden tax of roughly 15-20% on the fundamental value of American capacity. It acts as a persistent deflationary force on the quality of the currency, masking the true potential of the American economy.

Final Recommendation: To restore the "Soundness" of the money—to ensure the currency is backed by maximizing "Future Impact"—policy must focus on De-Leveraging Influence. This involves not just transparency, but structural reforms to align the "Legislative Subsidy" with the public interest (e.g., publicly funded congressional research) to eliminate the reliance on private rent-seekers. Only by decoupling the Leviathan from the Rent-Seeker can the Institutional Realization Rate be restored and the full Efficiency Capacity of the nation be unleashed.

Detailed Mathematical Appendix: Calibrating the CBMT Model

A. The Modified Solow-Swan with Rent-Seeking

To fully appreciate the negative impact, we can modify the standard Solow-Swan equation used in CBMT to explicitly include a "Rent-Seeking" term.

Let $\phi$ be the fraction of the labor force $L$ and capital $K$ dedicated to rent-seeking activities. $0 \le \phi \le 1$.

The productive labor is $(1-\phi)L$. The productive capital is $(1-\phi)K$.

The Production Function becomes:

$$Y = ((1-\phi)K)^\alpha H^\beta (A(1-\phi)L)^{1-\alpha-\beta}$$

Simplifying, assuming constant returns to scale:

$$Y = (1-\phi) \cdot [K^\alpha H^\beta (AL)^{1-\alpha-\beta}]$$

This equation shows that Rent-Seeking acts as a direct linear tax on total output. If 5% of resources ($\phi = 0.05$) are diverted to lobbying (a conservative estimate when including the legal compliance industry driven by lobbying), total GDP ($Y$) is permanently 5% lower than potential.

However, the effect is likely non-linear because lobbying also affects the growth rate of $A$ ($\dot{A}/A$).

$$\frac{\dot{A}}{A} = g - \lambda(\phi)$$

Where $\lambda$ is a coefficient of "Innovation Suppression." As lobbying increases ($\phi \uparrow$), the rate of technological progress decreases ($\dot{A} \downarrow$) due to barriers to entry.

Over time $t$, the loss is exponential:

$$Y(t){Lost} = Y(0) cdot e^{(g{optimal} - g_{lobby})t}$$

This explains why the Huneeus and Kim (2021) finding of a 50% larger effect in the dynamic channel is consistent with CBMT. The compounding loss of innovation is far more damaging than the static cost of the lobbyists' salaries.

B. The Hamilton Filter and the "Polarization Penalty"

The Hamilton Filter estimates the probability $P(S_t = j)$ of being in state $j$ (e.g., Crisis vs. Normal). Lobbying increases the variance $\sigma^2$ of the policy signals.

In a standard regime-switching model:

$$y_t = \mu_{S_t} + \epsilon_t, \quad \epsilon_t \sim N(0, \sigma^2_{S_t})$$

Lobbying-induced polarization implies that $\mu_{Democrat}$ and $\mu_{Republican}$ are far apart. The transition matrix $\Pi$ (probability of switching regimes) becomes critical. If lobbying makes policy swings more extreme (High Polarization), the "Option Value" of waiting to invest increases.

Firms will delay investment ($I$) until uncertainty resolves.

$$I_t = f(V_t, \text{Uncertainty})$$

As Uncertainty $\uparrow$, Investment $\downarrow$.

This directly reduces the capital stock accumulation $\dot{K}$, further depressing future $Y$.

Thus, the CBMT framework provides a robust, multi-vector mathematical proof that lobbying is a net negative for the economic value of the United States.

Download PDF
Download PDF
Read More