Bruno Crépon
;
Marc Ferracci
;
Grégory Jolivet
;
Gerard J. van den Berg

information shocks and the empirical evaluation of training programs during unemployment spells (replication data)

We study the role of notifications in the evaluation of training programs for unemployed workers. Using a unique administrative data set containing the dates when information is exchanged between job seekers and caseworkers, we address three questions: Do information shocks, such as notification of future training, have an effect on unemployment duration? What is the joint effect of notification and training programs on unemployment? Can ignoring information shocks lead to a large bias in the estimation of the effect of training programs? We discuss these issues through the lens of a job search model and then conduct an empirical analysis following a random effects approach to deal with selectivity. We find that notification has a strong positive effect on the training probability but a negative one on the probability of leaving unemployment. This attraction effect highlights the importance of accounting for notifications in the evaluation of active labor market policies.

Data and Resources

Suggested Citation

Crépon, Bruno; Ferracci, Marc; Jolivet, Grégory; Berg, Gerard J. van den (2018): Information shocks and the empirical evaluation of training programs during unemployment spells (replication data). Version: 1. Journal of Applied Econometrics. Dataset. http://dx.doi.org/10.15456/jae.2022326.0709057752