We study the job training provided under the US Workforce Investment Act (WIA) to adults and dislocated workers in two states. Our substantive contributions center on impacts estimated non-experimentally using administrative data. These impacts compare WIA participants who do and do not receive...

Randomized experiments provide policy relevant treatment effects if there are no spillovers between participants and nonparticipants. We show that this assumption is violated for a Danish activation program for unemployed workers. Using a difference-in-difference model we show that the...

Based on new, exceptionally informative and large German linked employer-employee administrative data, we investigate the question whether the omission of important control variables in matching estimation leads to biased impact estimates of typical active labour market programs for the...

Using Norwegian individual register data of young workers, from the period 1986-2008, we analyze whether there are large and persistent negative relationships between unemployment and the risk of repeated unemployment and being out of labor force. A nearest-neighbor propensity score matching...

This study investigates whether and to what extent further unemployment experience for youths who are already long-term unemployed imposes a penalty on subsequent labor market outcomes. We propose a flexible method for analyzing the effect on wages aside of transitions from unemployment and...

We investigate the effect of social interactions on labor market outcomes using a direct measure of social contacts based on information about individuals’ three best friends and their characteristics. We examine the effect of the number of employed friends on the transition from...

The Great Recession brought large increases in unemployment and college enrollment; we explore how changing labor market conditions affected the decision to enroll, focusing on the role of state-specific dimensions of Unemployment Insurance (UI) policy. We measure the enrollment response to...