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A Caseworker Like Me - Does The Similarity Between Unemployed And Caseworker Increase Job Placements?

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  • Stefanie Behncke

    ()

  • Markus Frölich

    ()

  • Michael Lechner

    ()

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.

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Bibliographic Info

Paper provided by Department of Economics, University of St. Gallen in its series University of St. Gallen Department of Economics working paper series 2008 with number 2008-08.

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Length: 52 pages
Date of creation: Apr 2008
Date of revision:
Handle: RePEc:usg:dp2008:2008-08

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Keywords: Social identity; social interactions; public employment services; unemployment; gender; age; education; treatment effects; matching estimators;

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Cited by:
  1. 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].
  2. Martin, John P., 2014. "Activation and Active Labour Market Policies in OECD Countries: Stylized Facts and Evidence on their Effectiveness," IZA Policy Papers, Institute for the Study of Labor (IZA) 84, Institute for the Study of Labor (IZA).
  3. Huber, Martin & Lechner, Michael & Steinmayr, Andreas, 2012. "Radius matching on the propensity score with bias adjustment: finite sample behaviour, tuning parameters and software implementation," Economics Working Paper Series 1226, University of St. Gallen, School of Economics and Political Science.
  4. Martin Huber & Michael Lechner & Conny Wunsch, 2010. "How to control for many covariates? Reliable estimators based on the propensity score," University of St. Gallen Department of Economics working paper series 2010, Department of Economics, University of St. Gallen 2010-30, Department of Economics, University of St. Gallen.
  5. John P. Martin, 2014. "Activation and Active Labour Market Policies in OECD Countries:Stylized Facts and Evidence on their Effectiveness," Working Papers, Geary Institute, University College Dublin 201409, Geary Institute, University College Dublin.

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