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Unemployed and their caseworkers: should they be friends or foes?

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  • Stefanie Behncke
  • Markus Frˆlich
  • Michael Lechner

Abstract

In many countries, caseworkers in public employment offices have dual roles of counselling and monitoring unemployed people. These roles often conflict, which results in important caseworker heterogeneity: some consider providing services to their clients and satisfying their demands as their primary task. However, others may pursue their own strategies, even against the will of the unemployed person. They may assign jobs and labour market programmes without the consent of the unemployed person. On the basis of a very detailed "linked jobseeker-caseworker" data set for Switzerland, we investigate the effects of caseworkers' co-operativeness on the probabilities of employment of their clients. Modified statistical matching methods reveal that caseworkers who place less emphasis on a co-operative and harmonic relationship with their clients increase their chances of employment in the short and medium term. Copyright (c) 2009 Royal Statistical Society.

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Bibliographic Info

Article provided by Royal Statistical Society in its journal Journal of the Royal Statistical Society: Series A (Statistics in Society).

Volume (Year): 173 (2010)
Issue (Month): 1 ()
Pages: 67-92

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Handle: RePEc:bla:jorssa:v:173:y:2010:i:1:p:67-92

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Citations

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Cited by:
  1. 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).
  2. 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.
  3. 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.
  4. Buurman, Margaretha & Dur, Robert, 2008. "Incentives and the Sorting of Altruistic Agents into Street-Level Bureaucracies," IZA Discussion Papers 3847, Institute for the Study of Labor (IZA).
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. Pierre Koning, 2009. "The effectiveness of Public Employment Service workers in the Netherlands," Empirical Economics, Springer, vol. 37(2), pages 393-409, October.

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