Macroeconomic Analysis of Household Labor Supply Responses to Large Fiscal Transfers: A Detailed Breakdown

 The unprecedented fiscal stimulus deployed during the COVID-19 pandemic—including Economic Impact Payments (EIP), enhanced unemployment insurance, and expanded child tax credits—provided vital support to households. However, it also coincided with a historically sharp and persistent contraction in labor supply.

In the Federal Reserve Board FEDS Working Paper "A Macroeconomic Analysis of Household Labor Supply Responses to Large Fiscal Transfers" (FEDS 2026-070), economists Isabel Cairó, Shigeru Fujita, and Camilo Morales-Jiménez investigate the complex interplay between massive government transfers, household savings, and labor supply decisions.

This detailed blog post explores their empirical findings, modeling framework, and key macroeconomic conclusions.

1. The Puzzle: Pandemic Transfers and the Employment Slump

When the pandemic hit in early 2020, the U.S. unemployment rate spiked to nearly 15% before dropping rapidly below 7% by late 2020. While the unemployment spike was short-lived, the contraction in labor supply was remarkably persistent. The labor force participation rate (LFPR) and the employment-to-population (EPOP) ratio fell precipitously and took over two years to return to pre-pandemic trends.

New Household-Level Evidence from the CPS/ASEC

To understand who bore the brunt of this employment contraction, the authors turn to the Current Population Survey Annual Social and Economic Supplement (CPS/ASEC). Moving away from individual-level demographics (like age, race, or education), they group households into income quartiles. Analyzing households is vital because transfers are pooled, and consumption, savings, and labor choices are jointly determined within families.

The data reveal two striking empirical findings:

1. The Income Gradient: Changes in EPOP ratios across household income groups were tightly linked to the intensity of transfer receipts. The lowest-income quartile—which received transfer payments accounting for roughly 25% of their total household income in 2020–2021—experienced the largest and most persistent employment drops and the slowest recoveries.

2. Comparison with the Global Financial Crisis (GFC): While fiscal support was also deployed during the GFC, the COVID-19 transfers were vastly larger, broader, and more progressive. During the GFC, employment declines across income quartiles did not exhibit a clear rank correlation with transfer exposure.

2. Disentangling Demand vs. Supply (and Why Labor Supply Matters)

A central challenge in interpreting pandemic data is separating demand-side shocks (e.g., closures of contact-intensive service sectors) from supply-side factors (e.g., health risks and disincentives to work).

While microeconomic studies often focus heavily on how stimulus payments affected consumer spending (Marginal Propensities to Consume, or MPCs), the authors emphasize that labor supply responses (Marginal Propensities to Earn, or MPEs) are equally critical. In standard macroeconomic models (like many HANK models), wealth effects on labor supply are often muted by assumption (e.g., GHH preferences). However, the authors argue that for transfers as massive as those seen in 2020–2023, wealth effects on labor supply cannot be ignored.

3. The Two-Sector, Heterogeneous-Household Model

To capture these dynamics rigorously, Cairó, Fujita, and Morales-Jiménez develop and estimate a general equilibrium model featuring:

• Two Production Sectors: A low-wage sector (employing low-skilled workers in contact-intensive/service industries) and a high-wage sector (employing high-skilled workers).

• Two Household Types:

  • Low-Income Households ($l$): Composed entirely of low-skilled workers. They are impatient and borrowing-constrained in normal times (holding zero wealth in steady state), but can save out of sufficiently large transfers.

  • High-Income Households ($h$): Composed of a mix of high- and low-skilled workers. They are unconstrained, own physical capital, and pay lump-sum taxes to finance government debt and transfers.

Allowing Low-Income Households to Save

A key innovation of the model is that while low-income households live hand-to-mouth in normal times, unprecedentedly large transfers push them past a critical threshold, enabling them to accumulate significant assets. This matches the historic surge in excess savings observed even among lower-income households during the pandemic.

4. Key Quantitative Findings

Using Bayesian techniques to estimate the model with data through 2023, the authors uncover three primary insights:

A. The 50:50 Split Between Consumption and Leisure

Because preferences permit wealth effects on labor supply, households split a dollar of unearned transfer income roughly evenly between higher consumption (higher MPC) and reduced labor earnings (higher MPE).

• In the baseline model, fiscal transfers reduced the aggregate EPOP ratio by 0.2 to 0.4 percentage points per year over 2020–2023.

• While high-income consumption fell due to anticipated tax burdens, low-income consumption rose. On net, aggregate output declined because reduced labor supply lowered employment and capital accumulation in the low-wage sector.

B. State-Dependent Policy Effectiveness

Are government transfers more effective during recessions? The authors find strong state dependence.

• Because borrowing constraints bind much more tightly during a deep recession (shadow values of constraints double during the pandemic), the exact same transfer relaxes a tighter constraint.

• As a result, introducing the transfer during the pandemic delivered consumption and labor supply responses 40 to 50 percent larger than if the same transfer had been introduced in steady state.

• This demonstrates that labor supply responses to wealth effects are inherently state-dependent.

C. Welfare Gains and Diminishing Returns

Were the transfers welfare-improving? Yes.

• Removing the transfers entirely would have inflicted a severe consumption-equivalent welfare loss of 0.84% on low-income households.

• The authors stress that the decline in employment should not be viewed purely as a "distortion"; rather, it represents the optimal exercise of leisure/non-market time by households whose tight borrowing constraints were relaxed.

• However, welfare gains exhibit diminishing returns. Doubling the transfers yields smaller welfare gains per dollar because once households are pushed off their borrowing constraints, their marginal utility of consumption drops.

Conclusion

Cairó, Fujita, and Morales-Jiménez demonstrate that accounting for the labor supply margin is essential when evaluating large-scale fiscal transfers. While pandemic-era programs successfully insulated low-income households from severe hardship and supported their consumption and savings, they also generated persistent, downward adjustments in labor supply through wealth effects. By blending micro-level household data with a rigorous general equilibrium framework, the paper reshapes our understanding of how transfer policies interact with macroeconomic outcomes during systemic crises.