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Unemployed and their Caseworkers: Should they be Friends or Foes?

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  • Stefanie Behncke

    ()

  • Markus Fröhlich

    ()

  • Michael Lechner

    ()

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 Department of Economics, University of St. Gallen in its series University of St. Gallen Department of Economics working paper series 2007 with number 2007-45.

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Length: 52 pages
Date of creation: Dec 2007
Date of revision:
Handle: RePEc:usg:dp2007:2007-45

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

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Cited by:
  1. Pierre Koning, 2009. "The effectiveness of Public Employment Service workers in the Netherlands," Empirical Economics, Springer, vol. 37(2), pages 393-409, October.
  2. 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.
  3. 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.
  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 2010-30, Department of Economics, University of St. Gallen.
  5. 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.
  6. 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.
  7. Martin, John P., 2014. "Activation and Active Labour Market Policies in OECD Countries: Stylized Facts and Evidence on their Effectiveness," IZA Policy Papers 84, Institute for the Study of Labor (IZA).
  8. Jonas Maibom Pedersen & Michael Rosholm & Michael Svarer, 2012. "Experimental Evidence on the Effects of Early Meetings and Activation," Economics Working Papers 2012-26, School of Economics and Management, University of Aarhus.
  9. John P. Martin, 2014. "Activation and Active Labour Market Policies in OECD Countries:Stylized Facts and Evidence on their Effectiveness," Working Papers 201409, Geary Institute, University College Dublin.
  10. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2013. "The performance of estimators based on the propensity score," Journal of Econometrics, Elsevier, vol. 175(1), pages 1-21.

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