Programme Evaluation with Multiple Treatments
AbstractThis paper reviews the main identification and estimation strategies for microeconomic policy evaluation. Particular emphasis is laid on evaluating policies consisting of multiple programmes, which is of high relevance in practice. For example, active labour market policies may consist of different training programmes, employment programmes and wage subsidies. Similarly, sickness rehabilitation policies often offer different vocational as well as non-vocational rehabilitation measures. First, the main identification strategies (control-forconfounding- variables, difference-in difference, instrumental-variable, and regressiondiscontinuity identification) are discussed in the multiple-programme setting. Thereafter, the different nonparametric matching and weighting estimators of the average treatment effects and their properties are examined.
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Bibliographic InfoPaper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 542.
Length: 55 pages
Date of creation: Aug 2002
Date of revision:
Publication status: published in: Journal of Economic Surveys, 2004, 18 (2), 181-224
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Other versions of this item:
- Markus Froelich, 2002. "Programme Evaluation with Multiple Treatments," University of St. Gallen Department of Economics working paper series 2002, Department of Economics, University of St. Gallen 2002-17, Department of Economics, University of St. Gallen.
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2002-09-11 (All new papers)
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