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...

Central to the welfare analysis of income transfer programs is the deadweight loss associated with possible reforms. To aid analytical tractability, its measurement typically requires specifying a simplified model of behavior. We employ a complementary "decomposition" approach that compares the...

We provide new evidence on the effect of the unemployment insurance (UI) weekly benefit amount on unemployment insurance spells based on administrative data from the state of Missouri covering the period 2003-2013. Identification comes from a regression kink design that exploits the...

This paper presents a meta-analysis of recent microeconometric evaluations of active labor market policies. Our sample consists of 199 program estimates drawn from 97 studies conducted between 1995 and 2007. In about one-half of these cases we have both a short-term impact estimate (for a...

"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 present a meta-analysis of impact estimates from over 200 recent econometric evaluations of active labor market programs from around the world. We classify estimates by program type and participant group, and distinguish between three different post-program time horizons. Using meta-analytic...

The gender wage gap rises with experience. To what extent do firm policies mediate this rise? We use administrative data from Italy to identify workers' first jobs and compute wage growth over the next 5 years. We then decompose the contribution of first employers to the rise in the gender wage...

Identification in a regression discontinuity (RD) design hinges on the discontinuity in the probability of treatment when a covariate (assignment variable) exceeds a known threshold. If the assignment variable is measured with error, however, the discontinuity in the first stage relationship...

Researchers frequently test identifying assumptions in regression based research designs (which include instrumental variables or difference-in-differences models) by adding additional control variables on the right hand side of the regression. If such additions do not affect the coefficient of...

Despite the widespread use of graphs in empirical research, little is known about readers' ability to process the statistical information they are meant to convey ("visual inference"). We study visual inference within the context of regression discontinuity (RD) designs by measuring how...