Dynamic evaluation of job search assistance

Stephen Kastoryano*, Bas van der Klaauw

*Corresponding author for this work

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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.

Original languageEnglish
Pages (from-to)227-241
Number of pages15
JournalJournal of Applied Econometrics
Issue number2
Publication statusPublished - Mar 2022

Bibliographical note

Funding Information:
Thanks to Pierre Koning and seminar participants at the University of Tilburg, University of Zurich, University College London, University of Lausanne, Bristol University, Netherlands Bureau of Economic Policy Analyses, University of Essex, EALE/SOLE‐meeting in London, the ESWM in Shanghai, the IZA/IFAU conference on Labor Market Policy Evaluation 2010, the editor, and three anonymous reviewers for useful comments. van der Klaauw acknowledges financial support from a Vici grant from the Dutch Science Foundation (NWO).

Publisher Copyright:
© 2021 John Wiley & Sons, Ltd.

Copyright 2021 Elsevier B.V., All rights reserved.


  • dynamic treatment evaluation
  • labor market policy

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