IDEAS home Printed from https://ideas.repec.org/p/boc/scon14/21.html
   My bibliography  Save this paper

Estimating average treatment effects from observational data using teffects

Author

Listed:
  • David Drukker

    (StataCorp LP)

Abstract

After reviewing the potential-outcome framework for estimating treatment effects from observational data, I will discuss how to estimate the average treatment effect and the average treatment effect on the treated by the regression-adjustment estimator, the inverse-probability-weighted estimator, two doubly robust estimators, and two matching estimators implemented in -teffects-.

Suggested Citation

  • David Drukker, 2014. "Estimating average treatment effects from observational data using teffects," 2014 Stata Conference 21, Stata Users Group.
    • Handle: RePEc:boc:scon14:21
    as

    Download full text from publisher

    File URL: http://repec.org/bos2014/boston14_drukker.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Adeyemo, T. & Okoruwa, V. & Akinyosoye, V., 2018. "Estimating causal effects of cassava based value-webs on smallholders welfare: a multivalued treatment approach," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277052, International Association of Agricultural Economists.
    2. Sayoni Roychowdhury & Indrila Ganguly & Abhik Ghosh, 2021. "Robust Estimation of Average Treatment Effects from Panel Data," Papers 2112.13228, arXiv.org, revised Dec 2022.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Harsha Thirumurthy & Joshua Graff Zivin & Markus Goldstein, 2008. "The Economic Impact of AIDS Treatment: Labor Supply in Western Kenya," Journal of Human Resources, University of Wisconsin Press, vol. 43(3), pages 511-552.
    2. Duclos, Jean-Yves & Araar, Abdelkrim & Giles, John, 2010. "Chronic and transient poverty: Measurement and estimation, with evidence from China," Journal of Development Economics, Elsevier, vol. 91(2), pages 266-277, March.
    3. Sharma, Rajesh & Shahbaz, Muhammad & Sinha, Avik & Vo, Xuan Vinh, 2021. "Examining the temporal impact of stock market development on carbon intensity: Evidence from South Asian countries," MPRA Paper 108925, University Library of Munich, Germany, revised 2021.
    4. Lionel WILNER, 2019. "The Dynamics of Individual Happiness," Working Papers 2019-18, Center for Research in Economics and Statistics.
    5. Patricia Cubí‐Mollá & Mireia Jofre‐Bonet & Victoria Serra‐Sastre, 2017. "Adaptation to health states: Sick yet better off?," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1826-1843, December.
    6. Li, Zhengtao & Hu, Bin, 2018. "Perceived health risk, environmental knowledge, and contingent valuation for improving air quality: New evidence from the Jinchuan mining area in China," Economics & Human Biology, Elsevier, vol. 31(C), pages 54-68.
    7. Kapteyn, Arie & Michaud, Pierre-Carl & Smith, James P. & van Soest, Arthur, 2006. "Effects of Attrition and Non-Response in the Health and Retirement Study," IZA Discussion Papers 2246, Institute of Labor Economics (IZA).
    8. Sebastian Barfort & Nikolaj Harmon & Frederik Hjorth & Asmus Leth Olsen, 2015. "Dishonesty and Selection into Public Service in Denmark: Who Runs the World’s Least Corrupt Public Sector?," Discussion Papers 15-12, University of Copenhagen. Department of Economics.
    9. Damon, Maria & Zivin, Joshua Graff & Thirumurthy, Harsha, 2015. "Health shocks and natural resource management: Evidence from Western Kenya," Journal of Environmental Economics and Management, Elsevier, vol. 69(C), pages 36-52.
    10. Martin Huber, 2010. "Identification of average treatment effects in social experiments under different forms of attrition," University of St. Gallen Department of Economics working paper series 2010 2010-22, Department of Economics, University of St. Gallen.
    11. Lu, Yi & Tao, Zhigang, 2009. "Contract enforcement and family control of business: Evidence from China," Journal of Comparative Economics, Elsevier, vol. 37(4), pages 597-609, December.
    12. Kugler, Maurice & Viollaz, Mariana & Duque, Daniel & Gaddis, Isis & Newhouse, David & Palacios-Lopez, Amparo & Weber, Michael, 2023. "How did the COVID-19 crisis affect different types of workers in the developing world?," World Development, Elsevier, vol. 170(C).
    13. Joana Elisa Maldonado & Kristof De Witte & Koen Declercq, 2022. "The effects of parental involvement in homework: two randomised controlled trials in financial education," Empirical Economics, Springer, vol. 62(3), pages 1439-1464, March.
    14. Han, Yajie & Han, Liyan & Liu, Chengkun & Wang, Qisong, 2024. "How does government R&D subsidies affect enterprises’ viability? An investigation on inverted U-shaped relationship," Finance Research Letters, Elsevier, vol. 70(C).
    15. Augurzky, Boris & Bauer, Thomas K. & Reichert, Arndt R. & Schmidt, Christoph M. & Tauchmann, Harald, 2014. "Small Cash Rewards for Big Losers – Experimental Insights Into the Fight Against the Obesity Epidemic," Ruhr Economic Papers 530, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    16. Kline, Patrick, 2014. "A note on variance estimation for the Oaxaca estimator of average treatment effects," Economics Letters, Elsevier, vol. 122(3), pages 428-431.
    17. Baeten, Steef & Van Ourti, Tom & van Doorslaer, Eddy, 2013. "The socioeconomic health gradient across the life cycle: What role for selective mortality and institutionalization?," Social Science & Medicine, Elsevier, vol. 97(C), pages 66-74.
    18. Prokhorov, Artem & Schmidt, Peter, 2009. "GMM redundancy results for general missing data problems," Journal of Econometrics, Elsevier, vol. 151(1), pages 47-55, July.
    19. Kodai MATSUMOTO, 2024. "Effects of Welfare Receipt on Well-being: Evidence from older people in Japan," Discussion papers 24039, Research Institute of Economy, Trade and Industry (RIETI).
    20. Paula K. Lorgelly & Joanne Lindley, 2008. "What is the relationship between income inequality and health? Evidence from the BHPS," Health Economics, John Wiley & Sons, Ltd., vol. 17(2), pages 249-265, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:boc:scon14:21. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/stataea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.