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A Note on the Relation of Weighting and Matching Estimators

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  • Michael Lechner

    ()

Abstract

This paper compares the inverse-probability-of-selection-weighting estimation principle with the matching principle and derives conditions for weighting and matching to identify the same and the true distribution, respectively. This comparison improves the understanding of the relation of these estimation principles and allows constructing new estimators.

Suggested Citation

  • Michael Lechner, 2007. "A Note on the Relation of Weighting and Matching Estimators," University of St. Gallen Department of Economics working paper series 2007 2007-34, Department of Economics, University of St. Gallen.
  • Handle: RePEc:usg:dp2007:2007-34
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    File URL: http://ux-tauri.unisg.ch/RePEc/usg/dp2007/DP-34-Le.pdf
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    References listed on IDEAS

    as
    1. Sergio Firpo, 2007. "Efficient Semiparametric Estimation of Quantile Treatment Effects," Econometrica, Econometric Society, vol. 75(1), pages 259-276, January.
    2. Markus Frlich, 2004. "Finite-Sample Properties of Propensity-Score Matching and Weighting Estimators," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 77-90, February.
    3. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Matching; inverse-of-selection-probability weighting; treatment evaluation; unconfoundedness;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • 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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