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A Distributional Analysis Of Treatment Effects In Randomized Experiments

Author

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  • Marcel Voia

    (Carleton University)

Abstract

This paper considers statistical tests that can be used to identify if a treatment is effective for a specific outcome variable over the entire distribution of a treated group when it is compared with a control group's distribution. Using only the average treatment effect to evaluate specific treatment programs ignores what happens in different regions of the distribution of interest. To address this problem, tests of equality of distributions, first and second order stochastic dominance are employed. To show how to implement the tests easily, an outline on how to estimate critical values using bootstrap method is presented. The tests are then applied to analyze the effectiveness of a treatment in a randomized experiment.

Suggested Citation

  • Marcel Voia, 2008. "A Distributional Analysis Of Treatment Effects In Randomized Experiments," Economics Bulletin, AccessEcon, vol. 3(36), pages 1-9.
    • Handle: RePEc:ebl:ecbull:eb-08c10007
    as

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    References listed on IDEAS

    as
    1. Oliver Linton & Esfandiar Maasoumi & Yoon-Jae Whang, 2005. "Consistent Testing for Stochastic Dominance under General Sampling Schemes," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 735-765.
    2. Paul T. Decker & Robert B. Olsen & Lance Freeman & Daniel H. Klepinger, 2000. "Assisting Unemployment Insurance Claimants: The Long-Term Impacts of the Job Search Assistance Demonstration," Mathematica Policy Research Reports a91d342072d34545ba240f269, Mathematica Policy Research.
    3. Garry F. Barrett & Stephen G. Donald, 2003. "Consistent Tests for Stochastic Dominance," Econometrica, Econometric Society, vol. 71(1), pages 71-104, January.
    4. Russell Davidson & Jean-Yves Duclos, 2000. "Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality," Econometrica, Econometric Society, vol. 68(6), pages 1435-1464, November.
    5. repec:mpr:mprres:4174 is not listed on IDEAS
    6. Anderson, Gordon, 1996. "Nonparametric Tests of Stochastic Dominance in Income Distributions," Econometrica, Econometric Society, vol. 64(5), pages 1183-1193, September.
    7. Abadie A., 2002. "Bootstrap Tests for Distributional Treatment Effects in Instrumental Variable Models," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 284-292, March.
    8. repec:mpr:mprres:2588 is not listed on IDEAS
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    More about this item

    Keywords

    Stochastic dominance tests;

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • D3 - Microeconomics - - Distribution

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