Dynamic Evaluation of Job Search Assistance

Stephen Kastoryano and Bas van der Klaauw

No 5424, IZA Discussion Papers from IZA Network @ LISER

Abstract: This paper evaluates a job search assistance program for unemployment insurance recipients. The assignment to the program is dynamic. We provide a discussion on dynamic treatment effects and identification conditions. In the empirical analyses we use administrative data from a unique institutional environment. This allows us to compare different microeconometric evaluation estimators. All estimators find that the job search assistance program reduces the exit to work, in particular when provided early during the spell of unemployment. Furthermore, continuous-time (timing-of-events and regression discontinuity) methods are more robust than discrete-time (propensity score and regression discontinuity) methods.

Keywords: empirical evaluation; dynamic enrollment; treatment evaluation (search for similar items in EconPapers)
JEL-codes: C22 J64 J68 (search for similar items in EconPapers)
Pages: 43 pages
Date: 2011-01
New Economics Papers: this item is included in nep-ecm and nep-lab
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (23)

Published - published in: Journal of Applied Econometrics, 2022, 37 (2), 227-241

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Journal Article: Dynamic evaluation of job search assistance (2022)
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