Programme Evaluation with Multiple Treatments

Markus Froelich ()
Authors registered in the RePEc Author Service: Markus Frölich ()

University of St. Gallen Department of Economics working paper series 2002 from Department of Economics, University of St. Gallen

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.

Keywords: Evaluation; matching; treatment effect; unobservables; covariate-adjustment (search for similar items in EconPapers)
JEL-codes: C13 C14 (search for similar items in EconPapers)
Pages: 55 pages
Date: 2002-07
New Economics Papers: this item is included in nep-ecm
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Citations: View citations in EconPapers (7)

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Related works:
Journal Article: Programme Evaluation with Multiple Treatments (2004)
Working Paper: Programme Evaluation with Multiple Treatments (2002)
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Persistent link: https://EconPapers.repec.org/RePEc:usg:dp2002:2002-17

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