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We study how the marginal welfare gain from increasing the unemployment insurance (UI) benefit level varies over the business cycle. We do this by estimating how the moral hazard cost and the consumption smoothing benefit of UI vary with labour market conditions, which we identify using variation in the interaction of UI benefit levels with the unemployment rate within U.S. states over time. We find that the moral hazard cost is procyclical, greater when the unemployment rate is relatively low. By contrast, we do not find evidence that the consumption smoothing benefit varies with the unemployment rate. We use these empirical results to estimate the marginal welfare gain, and we find that it is modest on average, but varies positively with the unemployment rate.

Using de-identified bank account data, we show that spending drops sharply at the large and predictable decrease in income arising from the exhaustion of unemployment insurance (UI) benefits. We use the high-frequency response to a predictable income decline as a new test to distinguish between alternative consumption models. The sensitivity of spending to income we document is inconsistent with rational models of liquidity-constrained households, but is consistent with behavioral models with present-biased or myopic households. Depressed spending after exhaustion also implies that the consumption-smoothing gains from extending UI benefits are four times larger than from raising UI benefit levels.

Contrary to standard search models predictions, past studies have not found a positive effect of unemployment insurance (UI) on reemployment wages. We estimate a positive UI wage effect exploiting an age-based regression discontinuity design in Austria. A search model incorporating duration dependence predicts two countervailing forces: UI induces workers to seek higher-wage jobs, but reduces wages by lengthening unemployment. Matching-function heterogeneity plausibly generates a negative relationship between the UI unemployment-duration and wage effects, which holds empirically in our sample and across studies, reconciling disparate wage-effect estimates. Empirically, UI raises wages by improving reemployment firm quality and attenuating wage drops.

This paper provides a simple, yet robust framework to evaluate the time profile of benefits paid during an unemployment spell. We derive sufficient-statistics formulae capturing the marginal insurance value and incentive costs of unemployment benefits paid at different times during a spell. Our approach allows us to revisit separate arguments for inclining or declining profiles put forward in the theoretical literature and to identify welfare-improving changes in the benefit profile that account for all relevant arguments jointly. For the empirical implementation, we use administrative data on unemployment, linked to data on consumption, income, and wealth in Sweden. First, we exploit duration-dependent kinks in the replacement rate and find that, if anything, the moral hazard cost of benefits is larger when paid earlier in the spell. Second, we find that the drop in consumption affecting the insurance value of benefits is large from the start of the spell, but further increases throughout the spell. In trading off insurance and incentives, our analysis suggests that the flat benefit profile in Sweden has been too generous overall. However, both from the insurance and the incentives side, we find no evidence to support the introduction of a declining tilt in the profile.

This paper studies the implications of individuals' knowledge of future job loss for the existence of an unemployment insurance (UI) market Learning about job loss leads to consumption decreases and spousal labor supply increases. This suggests existing willingness to pay estimates for UI understate its value. But it yields new estimation methodologies that account for and exploit responses to learning about future job loss. Although the new willingness to pay estimates exceed previous estimates, I estimate much larger frictions imposed by private information. This suggests privately traded UI policies would be too adversely selected to be profitable, at any price.

We estimate that unemployment insurance (UI) extensions reduce reemployment wages using sharp age discontinuities in UI eligibility in Germany. We show this effect combines two key policy parameters: the effect ofUI on reservation wages and the effect of nonemployment durations on wage offers. Our framework implies if UI extensions do not affect wages conditional on duration, then reservation wages do not bind. We derive resulting instrumental variable estimates for the effect of nonemployment durations on wage offers and bounds for reservation wage effects. The effect of UI on wages we find arises mainly from substantial negative nonemployment duration effects.

We examine how a 16-week cut in potential unemployment insurance (UI) duration in Missouri affected search behavior of UI recipients and the aggregate labor market. Using a regression discontinuity design (RDD), we estimate marginal effects of maximum duration on UI and nonemployment spells of 0.45 and 0.25, respectively. We simulate the unemployment rate implied by the RDD estimates assuming no market-level externalities. The implied response closely approximates the decline in the unemployment rate following the benefit cut, suggesting that, even in a period of high unemployment, the labor market absorbed the influx of workers without crowding out other job seekers.

We consider nonparametric identification and estimation in a nonseparable model where a continuous regressor of interest is a known, deterministic, but kinked function of an observed assignment variable. We characterize a broad class of models in which a sharp \"Regression Kink Design\" (RKD or RK Design) identifies a readily interpretable treatment-on-the-treated parameter (Florens, Heckman, Meghir, and Vytlaèil (2008)). We also introduce a \"fuzzy regression kink design\" generalization that allows for omitted variables in the assignment rule, noncompliance, and certain types of measurement errors in the observed values of the assignment variable and the policy variable. Our identifying assumptions give rise to testable restrictions on the distributions of the assignment variable and predetermined covariates around the kink point, similar to the restrictions delivered by Lee (2008) for the regression discontinuity design. Using a kink in the unemployment benefit formula, we apply a fuzzy RKD to empirically estimate the effect of benefit rates on unemployment durations in Austria.

We evaluate the effect of downside insurance on self-employment. We exploit a largescale reform of French unemployment benefits that insured unemployed workers starting businesses. The reform significantly increased firm creation without decreasing the quality of new entrants. Firms started postreform were initially smaller, but their employment growth, productivity, and survival rates are similar to those prereform. New entrepreneurs' characteristics and expectations are also similar. Finally, jobs created by new entrants crowd out employment in incumbent firms almost one-for-one, but have a higher productivity than incumbents. These results highlight the benefits of encouraging experimentation by lowering barriers to entry.

This paper studies the impact of unemployment insurance (UI) on the housing market. Exploiting heterogeneity in UI generosity across US states and over time, we find that UI helps the unemployed avoid mortgage default. We estimate that UI expansions during the Great Recession prevented more than 1.3 million foreclosures and insulated home values from labor market shocks. The results suggest that policies that make mortgages more affordable can reduce foreclosures even when borrowers are severely underwater. An optimal UI policy during housing downturns would weigh, among other benefits and costs, the deadweight losses avoided from preventing mortgage defaults.