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A Stata package for the estimation of the dose-response function when the treatment is multidimensional

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  • Enrico Cristofoletti

Abstract

Propensity score methods are wildly used techniques for the evaluation of causal effects in observational studies. Although Rosenbaum and Rubin's (1983) original article focused solely on binary treatments, further studies generalize the methods to multi-valued treatments, continuous treatments, and multidimensional continuous treatments. Despite its potential, Stata offers plenty of packages for all the cases but the last one. This paper aims to introduce a new Stata package – GPSMD – that implements the propensity score generalization to multidimensional continuous treatment developed by Egger and von Ehrlich (2013). The article illustrates the econometric framework and presents the commands implemented. We finally go through a simple working example to show the commands and the capability of the method to overcome bias.

Suggested Citation

  • 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.
    • Handle: RePEc:trn:utwprg:2021/07
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    References listed on IDEAS

    as
    1. 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.
    2. Egger, Peter H. & von Ehrlich, Maximilian, 2013. "Generalized propensity scores for multiple continuous treatment variables," Economics Letters, Elsevier, vol. 119(1), pages 32-34.
    3. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    4. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    5. Michela Bia & Carlos A. Flores & Alfonso Flores-Lagunes & Alessandra Mattei, 2014. "A Stata package for the application of semiparametric estimators of dose–response functions," Stata Journal, StataCorp LP, vol. 14(3), pages 580-604, September.
    6. Carlos A. Flores & Alfonso Flores-Lagunes & Arturo Gonzalez & Todd C. Neumann, 2012. "Estimating the Effects of Length of Exposure to Instruction in a Training Program: The Case of Job Corps," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 153-171, February.
    7. Barbara Guardabascio & Marco Ventura, 2014. "Estimating the dose–response function through a generalized linear model approach," Stata Journal, StataCorp LP, vol. 14(1), pages 141-158, March.
    8. Giovanni Cerulli, 2022. "Econometric Evaluation of Socio-Economic Programs," Advanced Studies in Theoretical and Applied Econometrics, Springer, edition 2, number 978-3-662-65945-8, July-Dece.
    9. Robin Jessen & Davud Rostam-Afschar & Viktor Steiner, 2017. "Getting the Poor to Work: Three Welfare-Increasing Reforms for a Busy Germany," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 73(1), pages 1-41, March.
    10. 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.
    11. King, Gary & Nielsen, Richard, 2019. "Why Propensity Scores Should Not Be Used for Matching," Political Analysis, Cambridge University Press, vol. 27(4), pages 435-454, October.
    12. Robin Jessen & Davud Rostam-Afschar & Viktor Steiner, 2017. "Getting the Poor to Work: Three Welfare-Increasing Reforms for a Busy Germany," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 73(1), pages 1-41, March.
    13. Adrian Mander, 2004. "PLOTMATRIX: Stata module to plot values of a matrix as different coloured blocks," Statistical Software Components S439602, Boston College Department of Economics, revised 21 Jun 2019.
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