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Unemployed and Their Caseworkers: Should They Be Friends or Foes?

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Author Info

  • Behncke, Stefanie

    ()
    (Swiss National Bank)

  • Frölich, Markus

    ()
    (University of Mannheim)

  • Lechner, Michael

    ()
    (University of St. Gallen)

Abstract

In many countries, caseworkers in a public employment office have the dual roles of counselling and monitoring unemployed persons. These roles often conflict with each other leading to important caseworker heterogeneity: Some consider providing services to their clients and satisfying their demands as their primary task. Others may however pursue their strategies even against the will of the unemployed person. They may assign job assignments and labour market programmes without consent of the unemployed person. Based on a very detailed linked jobseeker-caseworker dataset, we investigate the effects of caseworkers' cooperativeness on the employment probabilities of their clients. Modified statistical matching methods reveal that caseworkers who place less emphasis on a cooperative and harmonic relationship with their clients increase their employment chances in the short and medium term.

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Bibliographic Info

Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 3149.

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Length: 51 pages
Date of creation: Nov 2007
Date of revision:
Publication status: published in: Journal of Royal Statistical Society, Series A (Statistics in Society), 2010, 173 (1), 67-92
Handle: RePEc:iza:izadps:dp3149

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Keywords: statistical matching methods; public employment services; unemployment;

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Cited by:
  1. Margaretha Buurman & Robert Dur, 2008. "Incentives and the Sorting of Altruistic Agents into Street-Level Bureaucracies," Tinbergen Institute Discussion Papers 08-113/1, Tinbergen Institute, revised 14 Oct 2010.
  2. Pierre Koning, 2009. "The effectiveness of Public Employment Service workers in the Netherlands," Empirical Economics, Springer, Springer, vol. 37(2), pages 393-409, October.
  3. 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 for the Study of Labor (IZA).
  4. Jonas Maibom Pedersen & Michael Rosholm & Michael Svarer, 2012. "Experimental Evidence on the Effects of Early Meetings and Activation," Economics Working Papers, School of Economics and Management, University of Aarhus 2012-26, School of Economics and Management, University of Aarhus.
  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.
  6. 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).
  7. repec:dgr:uvatin:2008113 is not listed on IDEAS
  8. 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.
  9. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2013. "The performance of estimators based on the propensity score," Journal of Econometrics, Elsevier, Elsevier, vol. 175(1), pages 1-21.
  10. Huber, Martin & Mellace, Giovanni & Lechner, Michael, 2014. "Why do tougher caseworkers increase employment? The role of programme assignment as a causal mechanism," Economics Working Paper Series 1414, University of St. Gallen, School of Economics and Political Science.

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