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Program Evaluation and Random Program Starts

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  • Peter Fredriksson
  • Per Johansson

Abstract

This paper discusses the evaluation problem using observational data when the timing of treatment is an outcome of a stochastic process. We show that, without additional assumptions, it is not possible to estimate the average treatment effect and treatment on the treated. It is, however, possible to estimate the effect of treatment on the treated up to a certain time point. We propose an estimator to estimate this effect and show that it is possible to test for an average treatment effect.

Suggested Citation

  • Peter Fredriksson & Per Johansson, 2003. "Program Evaluation and Random Program Starts," CESifo Working Paper Series 844, CESifo.
    • Handle: RePEc:ces:ceswps:_844
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    References listed on IDEAS

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    7. Per-Anders Edin & Magnus Gustavsson, 2008. "Time Out of Work and Skill Depreciation," ILR Review, Cornell University, ILR School, vol. 61(2), pages 163-180, January.
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    12. Michael Lechner, 2000. "Programme Heterogeneity and Propensity Score Matching: An Application to the Evaluation of Active Labour Market Policies," Econometric Society World Congress 2000 Contributed Papers 0647, Econometric Society.
    13. Sianesi, Barbara, 2001. "An evaluation of the active labour market programmes in Sweden," Working Paper Series 2001:5, IFAU - Institute for Evaluation of Labour Market and Education Policy.
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    More about this item

    Keywords

    treatment effects; dynamic treatment assignment; program evaluation; method of matching;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies

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