Primary Outcomes (explanation)
We use administrative records from France Travail that can be matched with administrative data on employment outcomes. These data allow us to observe, for each individual in our sample, whether they are registered at France Travail, whether they receive unemployment insurance (UI) benefits, and their employment status for up to 18 months after leaving unemployment. Using these administrative records, we will estimate (1) the probability of exiting unemployment for work before unemployment duration t, and (2) the probability of being employed at time t since signing the first integration agreement after registration at France Travail.
The administrative records from France Travail also contain information on job search behavior on the France Travail platform. Our first measure of the number of job applications submitted by the job seeker will be based on the applications sent through the France Travail platform. A second measure will be based on the surveys conducted among job seekers. In these surveys, respondents report the total number of applications sent to employers during the previous four weeks. They are also asked about the number of applications submitted through different channels, including through France Travail.
We will investigate treatment effect heterogeneity with respect to the predicted reemployment rates for the individuals in our sample. The prediction model will be based on a large set of characteristics observed in the administrative data of France Travail, including socio-demographic characteristics (such as education, age and gender), previous employment history, participation in active labor market policy programs, potential benefit duration and UI benefit amounts, and indicators of local labor market conditions. Another dimension of heterogeneity we will examine is job seekers’ locus of control. In the first job seekers survey, conducted around one month after signing the integration agreement, we measure locus of control using a battery of standard questions. We plan to conduct around 30,000 interviews in the first survey wave.
We will also explore effect heterogeneity depending on local labor market conditions, the caseworker types and activities, and individual characteristics such as age, gender, education, and eligibility for UI benefits.
We will additionally estimate the interaction between treatment assignment in this trial and the treatment arm to which a jobseeker's agency was assigned in AEARCTR-0017471, for both primary and secondary outcomes. AEARCTR-0017471 (Breda et al., 2026), is a companion experiment in which the randomization is at the agency level and in which treatment assignment is orthogonal to the one in the experiment currently described.