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Moving the Goalposts: Addressing Limited Overlap in Estimation of Average Treatment Effects by Changing the Estimand Author info | Abstract | Publisher info | Download info | Related research | Statistics Richard K. Crump (University of California at Berkeley)
V. Joseph Hotz (University of California at Los Angeles)
Guido W. Imbens (University of California at Berkeley)
Oscar A. Mitnik () (Department of Economics, University of Miami)
Additional information is available for the following
registered author(s):
Estimation of average treatment effects under unconfoundedness or exogenous treatment assignment is often hampered by lack of overlap in the covariate distributions. This lack of overlap can lead to imprecise estimates and can make commonly used estimators sensitive to the choice of specification. In such cases researchers have often used informal methods for trimming the sample. In this paper we develop a systematic approach to addressing such lack of overlap. We characterize optimal subsamples for which the average treatment effect can be estimated most precisely, as well as optimally weighted average treatment effects. Under some conditions the optimal selection rules depend solely on the propensity score. For a wide range of distributions a good approximation to the optimal rule is provided by the simple selection rule to drop all units with estimated propensity scores outside the range [0.1, 0.9].
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Paper provided by University of Miami, Department of Economics in its series Working Papers with number
0608.
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Length: 49 pages
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Handle: RePEc:mia:wpaper:0608Contact details of provider: Postal: P.O. Box 248126, Coral Gables, FL 33124-6550 Phone: (305) 284-5540 Fax: (305) 284-2985 Web page: http://www.bus.miami.edu/faculty-and-research/academic-departments/economics/index.html More information through EDIRC
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Keywords: average treatment effects ; causality ; unconfoundedness ; overlap ; treatment effect heterogeneity ; Other versions of this item:
Find related papers by JEL classification: C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation and Testing
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[Downloadable!] (restricted) Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006.
"Moving the Goalposts: Addressing Limited Overlap in the Estimation of Average Treatment Effects by Changing the Estimand ,"
NBER Technical Working Papers
0330, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted)
Guido W. Imbens, 2004.
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"On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects ,"
Econometrica ,
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Full
references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006.
"Nonparametric Tests for Treatment Effect Heterogeneity ,"
NBER Technical Working Papers
0324, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted)
Other versions:
Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, .
"Nonparametric Tests for Treatment Effect Heterogeneity ,"
Working Papers
0609, University of Miami, Department of Economics.
[Downloadable!] Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006.
"Nonparametric Tests for Treatment Effect Heterogeneity ,"
IZA Discussion Papers
2091, Institute for the Study of Labor (IZA).
[Downloadable!] Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2008.
"Nonparametric Tests for Treatment Effect Heterogeneity ,"
The Review of Economics and Statistics ,
MIT Press, vol. 90(3), pages 389-405, 06.
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Wagstaff, Adam & Lindelow, Magnus & Jun, Gao & Ling, Xu & Juncheng, Qian, 2009.
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"Are there lasting impacts of aid to poor areas ? Evidence from rural China ,"
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Wagstaff, Adam, 2007.
"Health insurance for the poor : initial impacts of Vietnam's health care fund for the poor ,"
Policy Research Working Paper Series
4134, The World Bank.
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Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006.
"Moving the Goalposts: Addressing Limited Overlap in the Estimation of Average Treatment Effects by Changing the Estimand ,"
NBER Technical Working Papers
0330, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted)
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