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Dynamic evaluation of job search assistance

Kastoryano, S. ORCID: and van der Klaauw, B. (2022) Dynamic evaluation of job search assistance. Journal of Applied Econometrics, 37 (2). pp. 227-241. ISSN 1099-1255

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To link to this item DOI: 10.1002/jae.2866


This paper evaluates a job search assistance program for unemployed teachers where the assignment to the program is dynamic. We discuss the methodology of estimating dynamic treatment effects and identification conditions. In the empirical analysis we use administrative data from a unique institutional environment in which we observe all variables determining assignment to the job search assistance program. This allows us to compare results from a dynamic discrete-time evaluation model and a continuous time duration model. All approaches show that participation in the job search assistance program reduces exit rates from unemployment, in particular when starting the program early during the spell of unemployment. The discrete-time approach makes less strict parametric assumptions, but the results are sensitive to the choice of control group and the unit of time.

Item Type:Article
Divisions:Arts, Humanities and Social Science > School of Politics, Economics and International Relations > Economics
ID Code:98165


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