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Programme Evaluation with Multiple Treatments


  • Markus Froelich



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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  • Markus Froelich, 2002. "Programme Evaluation with Multiple Treatments," University of St. Gallen Department of Economics working paper series 2002 2002-17, Department of Economics, University of St. Gallen.
  • Handle: RePEc:usg:dp2002:2002-17

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    References listed on IDEAS

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    5. Chamberlain, Gary, 1984. "Panel data," Handbook of Econometrics,in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 22, pages 1247-1318 Elsevier.
    6. Newey, Whitney K, 1994. "The Asymptotic Variance of Semiparametric Estimators," Econometrica, Econometric Society, vol. 62(6), pages 1349-1382, November.
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    13. Charlier, G.W.P. & Melenberg, B. & van Soest, A.H.O., 1995. "A smoothed maximum score estimator for the binary choice panel data model with an application to labour force participation," Other publications TiSEM 93782c09-3feb-455f-bf00-0, Tilburg University, School of Economics and Management.
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    More about this item


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

    JEL classification:

    • 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

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