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Programme Evaluation with Multiple Treatments

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  • Markus Froelich

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Abstract

This paper reviews the main identification and estimation strategies for microeconometric 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-for-confounding-variables, difference-in-difference, instrumental-variable, and regression-discontinuity 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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File URL: http://www1.vwa.unisg.ch/RePEc/usg/dp2002/dp0217froelich_ganz.pdf
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Bibliographic Info

Paper provided by Department of Economics, University of St. Gallen in its series University of St. Gallen Department of Economics working paper series 2002 with number 2002-17.

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Length: 55 pages
Date of creation: Jul 2002
Date of revision:
Handle: RePEc:usg:dp2002:2002-17

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Related research

Keywords: Evaluation; matching; treatment effect; unobservables; covariate-adjustment;

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