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Estimating treatment effects from observational data using teffects, stteffects, and eteffects

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  • David M. Drukker

    (StataCorp LP)

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  • David M. Drukker, 2016. "Estimating treatment effects from observational data using teffects, stteffects, and eteffects," United Kingdom Stata Users' Group Meetings 2016 20, Stata Users Group.
    • Handle: RePEc:boc:usug16:20
    as

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    File URL: http://repec.org/usug2016/drukker_uksug16.pdf
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    References listed on IDEAS

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    1. Wooldridge, Jeffrey M., 2005. "Violating Ignorability Of Treatment By Controlling For Too Many Factors," Econometric Theory, Cambridge University Press, vol. 21(5), pages 1026-1028, October.
    2. Jeffrey M. Wooldridge, 2002. "Inverse probability weighted M-estimators for sample selection, attrition, and stratification," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 117-139, August.
    3. Wooldridge, Jeffrey M., 2007. "Inverse probability weighted estimation for general missing data problems," Journal of Econometrics, Elsevier, vol. 141(2), pages 1281-1301, December.
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    Cited by:

    1. Okyere, Charles Yaw & Kornher, Lukas, 2023. "Carbon farming training and welfare: Evidence from Northern Ghana," Land Use Policy, Elsevier, vol. 134(C).
    2. Bent, Peter H., 2020. "Recovery from financial crises in peripheral economies, 1870–1913," Explorations in Economic History, Elsevier, vol. 78(C).
    3. Okyere, Charles Yaw & Kornher, Lukas, 2022. "Carbon Farming Training and Welfare: Evidence from Northern Ghana," Discussion Papers 324738, University of Bonn, Center for Development Research (ZEF).

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