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Generalized propensity scores for multiple continuous treatment variables

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  • Egger, Peter H.
  • von Ehrlich, Maximilian

Abstract

This paper illustrates that the generalized propensity score method can easily be applied with multiple continuous endogenous treatment variables. Consistency proofs carry over straightforwardly to this general case, and the approach is shown to work well in finite samples with various data-generating processes and up to five continuous endogenous treatment variables.

Suggested Citation

  • Egger, Peter H. & von Ehrlich, Maximilian, 2013. "Generalized propensity scores for multiple continuous treatment variables," Economics Letters, Elsevier, vol. 119(1), pages 32-34.
    • Handle: RePEc:eee:ecolet:v:119:y:2013:i:1:p:32-34
    DOI: 10.1016/j.econlet.2013.01.006
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    References listed on IDEAS

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    1. Kosuke Imai & David A. van Dyk, 2004. "Causal Inference With General Treatment Regimes: Generalizing the Propensity Score," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 854-866, January.
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    2. Tadao Hoshino, 2021. "Estimating a Continuous Treatment Model with Spillovers: A Control Function Approach," Papers 2112.15114, arXiv.org, revised Jan 2023.
    3. Egger, Peter H. & Ehrlich, Maximilian v. & Nelson, Douglas R., 2020. "The trade effects of skilled versus unskilled migration," Journal of Comparative Economics, Elsevier, vol. 48(2), pages 448-464.
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    5. Enrico Cristofoletti, 2021. "A Stata package for the estimation of the dose-response function when the treatment is multidimensional," DEM Working Papers 2021/07, Department of Economics and Management.
    6. Mulwa, Chalmers K. & Visser, Martine, 2020. "Farm diversification as an adaptation strategy to climatic shocks and implications for food security in northern Namibia," World Development, Elsevier, vol. 129(C).
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    9. Egger, Peter Hannes & Egger, Peter, 2016. "Heterogeneous Effects of Tariff and Nontariff Policy Barriers in General Equilibrium," VfS Annual Conference 2016 (Augsburg): Demographic Change 145675, Verein für Socialpolitik / German Economic Association.
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    More about this item

    Keywords

    Generalized propensity score estimation; Multiple treatments; Continuous endogenous treatments;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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