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Comparing Econometric Methods to Empirically Evaluate Job-Search Assistance

Author

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  • Paul Muller

    (University of Gothenburg, Sweden)

  • Bas van der Klaauw

    (VU Amsterdam, The Netherlands)

  • Arjan Heyma

    (SEO Economic Research, The Netherlands)

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.

Suggested Citation

  • Paul Muller & Bas van der Klaauw & Arjan Heyma, 2017. "Comparing Econometric Methods to Empirically Evaluate Job-Search Assistance," Tinbergen Institute Discussion Papers 17-019/V, Tinbergen Institute.
    • Handle: RePEc:tin:wpaper:20170019
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    Cited by:

    1. van den Berg, Gerard J. & Vikström, Johan, 2019. "Long-Run Effects of Dynamically Assigned Treatments: a New Methodology and an Evaluation of Training Effects on Earnings," Working Paper Series 2019:18, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    2. Štefánik, Miroslav & Lafférs, Lukáš, 2024. "Supporting the right workplace experience: a dynamic evaluation of three activation programmes for young job seekers in Slovakia," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 58, pages 1-16.
    3. Paul Muller & Bas van der Klaauw & Arjan Heyma, 2020. "Comparing econometric methods to empirically evaluate activation programs for job seekers," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 526-547, August.

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    More about this item

    Keywords

    empirical policy evaluation; job-search assistance; unemployment duration;
    All these keywords.

    JEL classification:

    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

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