Comparing Econometric Methods to Empirically Evaluate Job-Search Assistance

Paul Muller, Bas van der Klaauw and Arjan Heyma ()
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Arjan Heyma: SEO Economic Research

No 10531, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: We test whether different empirical methods give different results when evaluating job-search assistance programs. Budgetary problems at the Dutch unemployment insurance (UI) administration in March 2010, caused a sharp drop in the availability of these programs. Using administrative data provided by the UI administration, we evaluate the effect of the program using (1) the policy discontinuity as a quasi-experiment, (2) conventional matching methods, and (3) the timing-of-events model. All three methods use the same data to consider the same program in the same setting, and also yield similar results. The program reduces job finding during the first six months after enrollment. At longer durations, the quasi-experimental estimates are not significantly different from zero, while the non-experimental methods show a small negative effect.

Keywords: job-search assistance; empirical policy evaluation; unemployment duration (search for similar items in EconPapers)
JEL-codes: C14 C31 J64 (search for similar items in EconPapers)
Pages: 58 pages
Date: 2017-01
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Citations: View citations in EconPapers (3)

Published - published in: Journal of Applied Econometrics, 2020, 35 (5), 526-547

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Working Paper: Comparing Econometric Methods to Empirically Evaluate Job-Search Assistance (2017)
Working Paper: Comparing Econometric Methods to Empirically Evaluate Job-Search Assistance (2017)
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