Research Database

This paper examines how cash transfers that are not conditional on employment affect infant health. Leveraging variation in the amount of pandemic-era stimulus and child tax credit payments that families received based on household composition, I find that an additional $100 in transfers reduces the prevalence of low birthweight by 2-3 percent. Effects are larger for payments received later in pregnancy, but are of a similar magnitude across the population. These additional resources increased prenatal care and improved maternal health in ways that are consistent with families both increasing investments in children's health and improving the prenatal environment.

This paper studies the welfare effects of encouraging rural-urban migration in the developing world. To do so, we build and analyze a dynamic general-equilibrium model of migration that features a rich set of migration motives. We estimate the model to replicate the results of a field experiment that subsidized seasonal migration in rural Bangladesh, leading to significant increases in migration and consumption. We show that the welfare gains from migration subsidies come from providing better insurance for vulnerable rural households rather than correcting spatial misallocation by relaxing credit constraints for those with high productivity in urban areas that are stuck in rural areas.

Domestic abuse encompasses a range of damaging behaviours beyond physical violence, including economic and emotional abuse. This paper provides the first evidence on the impact of cohabiting with an abusive partner on victim’s economic outcomes. In so doing, we highlight the systematic role played by economic suppression and coercive control in such relationships. Using administrative data and a matched control event study design, along with a within-individual comparison of outcomes across relationships, we document three new facts. First, women who begin relationships with (eventually) physically abusive men suffer large and significant earnings and employment falls immediately upon cohabiting with the abusive partner, which translates into a total household income loss. Second, this decline in economic outcomes is non-monotonic in women’s pre-cohabitation outside options. Third, abusive men impose economic costs on all their female partners, even those who do not report physical violence. To rationalize these findings, we develop a new dynamic model of abusive relationships where women do not perfectly observe their partner’s type, and abusive men have an incentive to use coercive control to sabotage women’s outside options and their ability to later exit the relationship. We show that this model is consistent with all three empirical facts. We harness the model’s predictions to revisit some classic results on domestic violence and show that the relationship between domestic violence and women’s outside options is crucially linked to breakup dynamics.

We show how to use panel data on household consumption to directly estimate households’ risk preferences. Specifically, we measure heterogeneity in risk aversion among households in Thai villages using a full risk-sharing model, which we then test allowing for this heterogeneity. There is substantial, statistically significant heterogeneity in estimated risk preferences. Full insurance cannot be rejected. As the risk sharing, as-if-complete-markets theory might predict, estimated risk preferences are unrelated to wealth or other characteristics. The heterogeneity matters for policy: Although the average household would benefit from eliminating village-level risk, less-risk-averse households who are paid to absorb that risk would be worse off by several percent of household consumption.

I develop a heterogeneous-agent New-Keynesian model featuring racial inequality in income and wealth, and studies interactions between racial inequality and monetary policy. Black and Hispanic workers gain more from accommodative monetary policy than White workers mainly due to higher labor market risks. Their gains are larger also because of a larger proportion of them are hand-to-mouth, while wealthy White workers gain more from asset price appreciation. Monetary and fiscal policies are substitutes in providing insurance against cyclical labor market risks. Racial minorities gain even more from an accommodative monetary policy in the absence of income-dependent fiscal transfers.

We show that if the central bank operates without commitment and faces constraints on its balance sheet, helicopter drops can be a useful stabilization tool during a liquidity trap. In our model, even with balance sheet constraints, helicopter drops are at best irrelevant under commitment.

Parental investments significantly impact children’s outcomes. Exploiting panel data covering individuals from birth to retirement, we estimate child skill production functions and embed them into an estimated dynastic model in which altruistic mothers and fathers make investments in their children. We find that time investments, educational investments, and assortative matching have a greater impact on generating inequality and intergenerational persistence than cash transfers. While education subsidies can reduce inequality, due to an estimated dynamic complementarity between time investments and education, it is crucial to announce them in advance to allow parents to adjust their investments when their children are young.

Past research has provided evidence of clientelistic politics in delivery of program benefits by local governments (gram panchayats (GPs)), and manipulation of GP program budgets by legislators and elected officials at upper tiers in West Bengal, India. Using household panel survey data spanning 1998-2008, we examine the consequences of clientelism for distributive equity. We find that targeting of anti-poverty programs was progressive both within and across GPs, and is explained by greater 'vote responsiveness' of poor households to receipt of welfare benefits. Across-GP allocations were more progressive than a rule-based formula recommended by the 3rd State Finance Commission (SFC) based on GP demographic characteristics. Moreover, alternative formulae for across-GP budgets obtained by varying weights on GP characteristics used in the SFC formula would have improved pro-poor targeting only marginally. Hence, there is not much scope for improving pro-poor targeting of private benefits by transitioning to formula-based budgeting.

How does wealth taxation differ from capital income taxation? When the return on investment is equal across individuals, a well-known result is that the two tax systems are equivalent. Motivated by recent empirical evidence documenting persistent return heterogeneity, we revisit this question. With heterogeneity, the two tax systems typically have opposite implications for both efficiency and inequality. Under capital income taxation, entrepreneurs who are more productive and therefore generate more income pay higher taxes. Under wealth taxation, entrepreneurs who have similar wealth levels pay similar taxes regardless of their productivity, which expands the tax base, shifts the tax burden toward unproductive entrepreneurs, and raises the savings rate of productive ones. This reallocation increases aggregate productivity and output. In the simulated model parameterized to match the US data, replacing the capital income tax with a wealth tax in a revenue-neutral fashion delivers a significantly higher average welfare. Turning to optimal taxation, the optimal wealth tax (OWT) is positive and yields large welfare gains by raising efficiency and lowering inequality. In contrast, the optimal capital income tax (OKIT) is negative—a subsidy—and delivers lower welfare gains than OWT, owing to the welfare losses from higher inequality. Furthermore, when the transition path is considered, the gains from OKIT turn into significant welfare losses for existing cohorts, whereas OWT continues to deliver robust welfare gains. These results suggest that moderate wealth taxation may be a more appealing alternative than capital income taxation, which can be significantly more distorting under return heterogeneity than under the equal-returns assumption.

Applying the Foster, Haltiwanger, and Krizan (FHK) (2001) decomposition to plant-level manufacturing data from Chile and Korea, we find that the entry and exit of plants account for a larger fraction of aggregate productivity growth during periods of fast GDP growth. To analyze this relationship, we develop a model of firm entry and exit based on Hopenhayn (1992). When we introduce reforms that reduce entry costs or reduce barriers to technology adoption into a calibrated model, we find that the entry and exit terms in the FHK decomposition become more important as GDP grows rapidly, just as they do in the data from Chile and Korea.

The epidemiological literature suggests that virus transmission occurs only when individuals are in relatively close contact. We show that if society can control the extent to which economic agents are exposed to the virus and agents can commit to contracts, virus externalities are local, and competitive equilibria are efficient. The Second Welfare Theorem also holds. These results still apply when infection status is imperfectly observed and when agents are privately informed about their infection status. If society cannot control virus exposure, then virus externalities are global and competitive equilibria are inefficient, but the policy implications are very different from those in the literature. Economic activity in this version of our model can be inefficiently low, in contrast to the conventional wisdom that viruses create global externalities and result in inefficiently high economic activity. If agents cannot commit, competitive equilibria are inefficient because of a novel pecuniary externality.

We measure the importance of increasing returns to scale and trade in medical services. Using Medicare claims data, we document that “imported” medical care—services produced by a medical provider in a different region—constitute about one-fifth of US healthcare consumption. Larger regions specialize in producing less common procedures, which are traded more. These patterns reflect economies of scale: larger regions produce higher-quality services because they serve more patients. Because of increasing returns and trade costs, policies to improve access to care face a proximity-concentration tradeoff. Production subsidies and travel subsidies can impose contrasting spillovers on neighboring regions.

This paper develops a quantitative framework to study the impact of Unemployment Insurance (UI) expansions to workers earning below eligibility thresholds. A model of how UI affects welfare and labor supply is developed and calibrated with microeconomic data, including consumption. The model predicts that the current ineligible would choose to stay on UI longer than the current eligible and the margins of why this is the case are quantified. The model is applied to the Great Recession by identifying ineligible workers in the data using machine learning and to an actual expansion during COVID-19 using administrative data. The UI duration for newly eligible under the expansion was 1.7 times longer than the previous eligible but is one-third shorter than the model's economic incentives predict. This suggests caution in extrapolating from the COVID-19 data and the model is used to predict impacts of smaller scale expansions during non-pandemic times.

Many central banks whose exchange rate regimes are classified as flexible are reluctant to let the exchange rate fluctuate. This phenomenon is known as “fear of floating”. We present a simple theory in which fear of floating emerges as an optimal policy outcome. The key feature of the model is an occasionally binding borrowing constraint linked to the exchange rate that introduces a feedback loop between aggregate demand and credit conditions. Contrary to the Mundellian paradigm, we show that a depreciation can be contractionary, and letting the exchange rate float can expose the economy to self-fulfilling crises.

We develop a theory of labor markets in a monetary economy with four realistic features: search frictions, worker productivity shocks, wage rigidity, and two-sided lack of commitment. Due to the non-Coasean nature of labor contracts, inefficient job separations occur in the form of endogenous quits and layoffs that are unilaterally initiated whenever a worker’s wage-to-productivity ratio moves outside an inaction region. We derive sufficient statistics for the aggregate labor market response to a monetary shock based on the distribution of workers’ wage-to-productivity ratios. These statistics crucially depend on the incidence of inefficient job separations, which we show how to identify using readily available microdata on wage changes and worker flows between jobs.

We re-examine recent trends in regional income convergence, considering the full distribution of income rather than focusing on the mean. Measuring similarity by comparing each percentile of state distributions to the corresponding percentile of the national distribution, we find that state incomes have become less similar (i.e. they have diverged) within the top 20 percent of the income distribution since 1969. The top percentile alone accounts for more than half of aggregate divergence across states over this period by our measure, and the top five percentiles combine to account for 93 percent. Divergence in top incomes across states appears to be driven largely by changes in top incomes among White people, while top incomes among Black people have experienced relatively little divergence.

We study the COVID-19 epidemic in emerging markets that face financial frictions and its mitigation through social distancing and vaccination. We find that restricted vaccine availability in emerging markets, as captured by limited quantities and high prices, renders the pandemic exceptionally costly in these countries, compared with economies without financial frictions. Improved access to financial markets enables a better response to the delay in vaccine supplies, as it supports more stringent social distancing measures before wider vaccine availability. We show that financial assistance programs to such financially constrained countries can increase vaccinations and lower fatalities, at no present-value cost to the international community.

We develop a model of banking industry dynamics to study the quantitative impact of regulatory policies on bank risk taking and market structure. Since our model is matched to U.S. data, we propose a market structure where big banks with market power interact with small, competitive fringe banks as well as non-bank lenders. Banks face idiosyncratic funding shocks in addition to aggregate shocks which affect the fraction of performing loans in their portfolio. A nontrivial bank size distribution arises out of endogenous entry and exit, as well as banks' buffer stock of capital. We show the model predictions are consistent with untargeted business cycle properties, the bank lending channel, and empirical studies of the role of concentration on financial stability. We find that regulatory policies can have an important impact on banking market structure, which, along with selection effects, can generate changes in allocative efficiency and stability.