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Dynamic Econometric Program Evaluation

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Author Info

  • Abbring, Jaap H.

    ()
    (Tilburg University)

Abstract

H. Theil has made important contributions to the analysis of simultaneous-equations models. This paper gives an exposition of some closely related recent developments in microeconometrics, with a focus on efforts to develop robust methods for dynamic policy evaluation. We set the stage with a brief discussion of the static treatment-effect approach to program evaluation and non-parametric structural models. We then critically analyze the dynamic treatment-effects approach adopted from statistics. Finally, we review the eventhistory approach. We clarify some of the fundamental problems that arise in the analysis of such models by rephrasing a canonical version as a simultaneous-equations model.

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Bibliographic Info

Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 804.

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Length: 40 pages
Date of creation: Jun 2003
Date of revision:
Handle: RePEc:iza:izadps:dp804

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Related research

Keywords: dynamic policy evaluation; structural models; treatment effects; event-history analysis;

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Cited by:
  1. Lechner, Michael, 2013. "Treatment effects and panel data," Economics Working Paper Series 1314, University of St. Gallen, School of Economics and Political Science.
  2. Michael Lechner & Ruth Miquel, 2010. "Identification of the effects of dynamic treatments by sequential conditional independence assumptions," Empirical Economics, Springer, vol. 39(1), pages 111-137, August.
  3. Stephan Thomsen, 2009. "Job Search Assistance Programs in Europe: Evaluation Methods and Recent Empirical Findings," FEMM Working Papers 09018, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.

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