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Volumn 107, Issue 5, 2017, Pages 278-281

Estimating average treatment effects: Supplementary analyses and remaining challenges

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EID: 85019059169     PISSN: 00028282     EISSN: None     Source Type: Journal    
DOI: 10.1257/aer.p20171042     Document Type: Conference Paper
Times cited : (73)

References (19)
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    • Athey, S.1    Imbens, G.2
  • 8
    • 60449086859 scopus 로고    scopus 로고
    • Dealing with limited overlap in estimation of average treatment effects
    • Crump, Richard K., V. Joseph Hotz, Guido W. Imbens, and Oscar A. Mitnik. 2009. "Dealing with Limited Overlap in Estimation of Average Treatment Effects." Biometrika 96 (1): 187-99.
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    • Crump, R.K.1    Joseph Hotz, V.2    Imbens, G.W.3    Mitnik, O.A.4
  • 9
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    • Inverse probability tilting for moment condition models with missing data
    • Graham, Bryan S., Cristine Campos de Xavier Pinto, and Daniel Egel. 2012. "Inverse Probability Tilting for Moment Condition Models with Missing Data." Review of Economic Studies 79 (3): 1053-79.
    • (2012) Review of Economic Studies , vol.79 , Issue.3 , pp. 1053-1079
    • Graham, B.S.1    De Xavier-Pinto, C.C.2    Egel, D.3
  • 10
    • 0000858149 scopus 로고    scopus 로고
    • On the role of the propensity score in efficient semiparametric estimation of average treatment effects
    • Hahn, Jinyong. 1998. "On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects." Econometrica 66 (2): 315-31.
    • (1998) Econometrica , vol.66 , Issue.2 , pp. 315-331
    • Hahn, J.1
  • 11
    • 84856137889 scopus 로고    scopus 로고
    • Entropy balancing for causal effects: A multivariate reweighting method to produce balanced samples in observational studies
    • Hainmueller, Jens. 2012. "Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies." Political Analysis 20 (1): 25-46.
    • (2012) Political Analysis , vol.20 , Issue.1 , pp. 25-46
    • Hainmueller, J.1
  • 13
    • 0000133467 scopus 로고
    • The asymptotic variance of semiparametric estimators
    • Newey, Whitney K. 1994. "The Asymptotic Variance of Semiparametric Estimators." Econometrica 62 (6): 1349-82.
    • (1994) Econometrica , vol.62 , Issue.6 , pp. 1349-1382
    • Newey, W.K.1
  • 14
    • 21844487694 scopus 로고
    • Semiparametric efficiency in multivariate regression models with missing data
    • Robins, James M., and Andrea Rotnitzky. 1995. "Semiparametric Efficiency in Multivariate Regression Models with Missing Data." Journal of the American Statistical Association 90 (429): 122-29.
    • (1995) Journal of the American Statistical Association , vol.90 , Issue.429 , pp. 122-129
    • Robins, J.M.1    Rotnitzky, A.2
  • 15
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    • The central role of the propensity score in observational studies for causal effects
    • Rosenbaum, Paul R., and Donald B. Rubin. 1983. "The Central Role of the Propensity Score in Observational Studies for Causal Effects." Biometrika 70 (1): 41-55.
    • (1983) Biometrika , vol.70 , Issue.1 , pp. 41-55
    • Rosenbaum, P.R.1    Rubin, D.B.2
  • 19
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    • Stable weights that balance covariates for estimation with incomplete outcome data
    • Zubizarreta, Jose R. 2015. "Stable Weights that Balance Covariates for Estimation with Incomplete Outcome Data." Journal of the American Statistical Association 110 (511): 910-22.
    • (2015) Journal of the American Statistical Association , vol.110 , Issue.511 , pp. 910-922
    • Zubizarreta, J.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.