We develop and evaluate experimentally a novel tool that redesigns the job search process by providing tailored advice at low cost. We invited jobseekers to our computer facilities for twelve consecutive weekly sessions to search for real jobs on our web interface. For one-half, instead of relying on their own search criteria, we use readily available labour market data to display relevant alternative occupations and associated jobs. The data indicate that this broadens the set of jobs they consider and increases their job interviews especially for participants who otherwise search narrowly and have been unemployed for a few months.

Identifying policy-relevant treatment effects from randomized experiments requires the absence of spillovers between participants and nonparticipants (SUTVA) or variation in observed treatment levels. We find that SUTVA is violated for a Danish activation program for unemployed workers. Using a difference-in-differences model, we show that nonparticipants in the experiment regions find jobs more slowly after the introduction of the program than workers in other regions. We estimate an equilibrium search model to identify the policy-relevant treatment effect. A large-scale rollout of the program is shown to decrease welfare, while a standard partial microeconometric cost-benefit analysis concludes the opposite.