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Choosing the Best Training Programme: Is there a Case for Statistical Treatment Rules?

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  • Jonas Staghøj
  • Michael Svarer
  • Michael Rosholm

Abstract

When treatment effects of active labour market programmes (ALMPs) are heterogeneous in an observable way across the population, the allocation of the unemployed into different programmes becomes particularly important. In this article, we present a statistical model that can be used to allocate unemployed into different ALMPs. The model presented is a duration model that uses the timing‐of‐events framework to identify causal effects. We compare different assignment rules, and the results suggest that a significant reduction in the average duration of unemployment may result if a statistical treatment rule is introduced.

Suggested Citation

  • Jonas Staghøj & Michael Svarer & Michael Rosholm, 2010. "Choosing the Best Training Programme: Is there a Case for Statistical Treatment Rules?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(2), pages 172-201, April.
    • Handle: RePEc:bla:obuest:v:72:y:2010:i:2:p:172-201
    DOI: 10.1111/j.1468-0084.2009.00578.x
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    References listed on IDEAS

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    Cited by:

    1. Kyyrä, Tomi & Parrotta, Pierpaolo & Rosholm, Michael, 2013. "The effect of receiving supplementary UI benefits on unemployment duration," Labour Economics, Elsevier, vol. 21(C), pages 122-133.

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