We develop and evaluate experimentally a novel tool that redesigns the job search process by providing tailored advice at low cost. We invited job seekers to our computer facilities for 12 consecutive weekly sessions to search for real jobs on our web interface. For half, instead of relying on...

Helping job seekers to identify suitable jobs is a key challenge for policy makers. We develop and evaluate experimentally a novel tool that provides tailored advice at low cost and thereby redesigns the process through which job seekers search for jobs. We invited 300 job seekers to our...

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...

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...

We test whether different empirical methods give different results when evaluating job-search assistance programs. Budgetary problems at the Dutch unemployment insurance (UI) administration in March 2010, caused a sharp drop in the availability of these programs. Using administrative data...

We test whether different empirical methods give different results when evaluating job-search assistance programs. Budgetary problems at the Dutch unemployment insurance (UI) administration in March 2010, caused a sharp drop in the availability of these programs. Using administrative data...

Helping job seekers to identify suitable jobs is a key challenge for policy makers. We develop and evaluate experimentally a novel tool that provides tailored advice at low cost and thereby redesigns the process through which job seekers search for jobs. We invited 300 job seekers to our...