Dynamic Econometric Program Evaluation
AbstractH. 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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 804.
Length: 40 pages
Date of creation: Jun 2003
Date of revision:
Contact details of provider:
Postal: IZA, P.O. Box 7240, D-53072 Bonn, Germany
Phone: +49 228 3894 223
Fax: +49 228 3894 180
Web page: http://www.iza.org
Postal: IZA, Margard Ody, P.O. Box 7240, D-53072 Bonn, Germany
Find related papers by JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
- C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Michael Lechner & Ruth Miquel, 2010.
"Identification of the effects of dynamic treatments by sequential conditional independence assumptions,"
Springer, vol. 39(1), pages 111-137, August.
- Michael Lechner & Ruth Miquel, 2005. "Identification of the Effects of Dynamic Treatments by Sequential Conditional Independence Assumptions," University of St. Gallen Department of Economics working paper series 2005 2005-17, Department of Economics, University of St. Gallen.
- 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.
- Lechner, Michael, 2013. "Treatment effects and panel data," Economics Working Paper Series 1314, University of St. Gallen, School of Economics and Political Science.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mark Fallak).
If references are entirely missing, you can add them using this form.