We summarize the estimates from over 200 recent studies of active labor market programs. We classify the estimates by type of program and participant group, and distinguish between three different post-program time horizons. Using regression models for the estimated program effect (for studies...

This paper presents a meta-analysis of recent microeconometric evaluations of active labor market policies. Our sample contains 199 separate "program estimates" - estimates of the impact of a particular program on a specific subgroup of participants - drawn from 97 studies conducted between 1995...

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. This design arises in many institutional settings where a policy variable (such as weekly...

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. This design arises in many institutional settings where a policy variable (such as weekly...

This paper presents new tests of the permanent income hypothesis and other widely used models of household behavior using data from the labor market. We estimate the "excess sensitivity" of job search behavior to cash-on-hand using sharp discontinuities in eligibility for severance pay and...

In this paper, we review the literature on the "spike" in unemployment exit rates around benefit exhaustion, and present new evidence based on administrative data for a large sample of job losers in Austria. We find that the way unemployment spells are measured has a large effect on the...

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. This design arises in many institutional settings where a policy variable (such as weekly...

A regression kink design (RKD or RK design) can be used to identify casual effects in settings where the regressor of interest is a kinked function of an assignment variable. In this paper, we apply an RKD approach to study the effect of unemployment benefits on the duration of joblessness in...

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. This design arises in many institutional settings where a policy variable (such as weekly...