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A Caseworker Like Me - Does the Similarity between unemployed and Caseworker Increase Job Placements?

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  • Lechner, Michael
  • Frölich, Markus
  • Behncke, Stefanie

Abstract

This paper examines whether the chances of job placements improve if unemployed persons are counselled by caseworkers who belong to the same social group, defined by gender, age, education, and nationality. Based on an unusually informative dataset, which links Swiss unemployed to their caseworkers, we find positive employment effects of about 4 percentage points if caseworker and unemployed belong to the same social group. Coincidence in a single characteristic, e.g. same gender of caseworker and unemployed, does not lead to detectable effects on employment. These results, obtained by statistical matching methods, are confirmed by several robustness checks.

Suggested Citation

  • Lechner, Michael & Frölich, Markus & Behncke, Stefanie, 2008. "A Caseworker Like Me - Does the Similarity between unemployed and Caseworker Increase Job Placements?," CEPR Discussion Papers 6784, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:6784
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    Cited by:

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    2. Martin Huber & Michael Lechner & Andreas Steinmayr, 2015. "Radius matching on the propensity score with bias adjustment: tuning parameters and finite sample behaviour," Empirical Economics, Springer, vol. 49(1), pages 1-31, August.
    3. Martin, John P., 2016. "Whither Activation Policies? Reflections for the Future," IZA Policy Papers 114, Institute of Labor Economics (IZA).
    4. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2010. "How to Control for Many Covariates? Reliable Estimators Based on the Propensity Score," IZA Discussion Papers 5268, Institute of Labor Economics (IZA).
    5. Yankova, Katerina, 2010. "Der Selektionsprozess in Maßnahmen der aktiven Arbeitsmarktpolitik : eine explorative Untersuchung für die deutsche Arbeitsvermittlung (The selection process in active labour market policy measures : ," IAB-Discussion Paper 201011, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

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    More about this item

    Keywords

    Age; Gender; Public employment services; Social identity; Social interactions; Unemployment;
    All these keywords.

    JEL classification:

    • 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
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy

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