Estimating the dose-response function through the GLM approach
This paper revises the estimation of the dose-response function as in Hirano and Imbens (2004) by proposing a flexible way to estimate the generalized propensity score when the treatment variable is not necessarily normally distributed. We also provide a set of programs that accomplish this task by using the GLM in the first step of the computation.
|Date of creation:||13 Mar 2013|
|Date of revision:||13 Mar 2013|
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- Edwin Leuven & Barbara Sianesi, 2003. "PSMATCH2: Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing," Statistical Software Components S432001, Boston College Department of Economics, revised 19 Jan 2015.
- Helmut Fryges & Joachim Wagner, 2008.
"Exports and Productivity Growth: First Evidence from a Continuous Treatment Approach,"
Review of World Economics (Weltwirtschaftliches Archiv),
Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 144(4), pages 695-722, December.
- Fryges, Helmut & Wagner, Joachim, 2007. "Exports and Productivity Growth: First Evidence from a Continuous Treatment Approach," IZA Discussion Papers 2782, Institute for the Study of Labor (IZA).
- Helmut Fryges & Joachim Wagner, 2007. "Exports and Productivity Growth - First Evidence from a Continuous Treatment Approach," Jena Economic Research Papers 2007-063, Friedrich-Schiller-University Jena.
- Fryges, Helmut & Wagner, Joachim, 2007. "Exports and Productivity Growth: First Evidence from a Continuous Treatment Approach," ZEW Discussion Papers 07-032, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
- Hemlut Fryges & Joachim Wagner, 2007. "Exports and Productivity Growth – First Evidence from a Continuous Treatment Approach," Working Paper Series in Economics 49, University of Lüneburg, Institute of Economics.
- Helmut Fryges, 2009. "The export-growth relationship: estimating a dose-response function," Applied Economics Letters, Taylor & Francis Journals, vol. 16(18), pages 1855-1859.
- Michela Bia & Alessandra Mattei, 2008. "A Stata package for the estimation of the dose–response function through adjustment for the generalized propensity score," Stata Journal, StataCorp LP, vol. 8(3), pages 354-373, September.
- Liu, Jin-Long & Liu, Jin-Tan & Hammitt, James K. & Chou, Shin-Yi, 1999. "The price elasticity of opium in Taiwan, 1914-1942," Journal of Health Economics, Elsevier, vol. 18(6), pages 795-810, December.
- Hausman, Jerry A & Leonard, Gregory K, 1997. "Superstars in the National Basketball Association: Economic Value and Policy," Journal of Labor Economics, University of Chicago Press, vol. 15(4), pages 586-624, October.
- de Jong,Piet & Heller,Gillian Z., 2008. "Generalized Linear Models for Insurance Data," Cambridge Books, Cambridge University Press, number 9780521879149, October.
- Leslie E. Papke & Jeffrey M. Wooldridge, 1993.
"Econometric Methods for Fractional Response Variables with an Application to 401(k) Plan Participation Rates,"
NBER Technical Working Papers
0147, National Bureau of Economic Research, Inc.
- Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-632, Nov.-Dec..
- 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.
- Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
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