IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-07i10005.html
   My bibliography  Save this article

Propensity Score Matching with Limited Overlap

Author

Listed:
  • Onur Baser

    (Thomson-Medstat)

Abstract

In this article, we have demostrated the application of two newly proposed estimators which accounts for lack of overlap under propensity score matching on a case study involing the analysis of health expenditure data for the United States.

Suggested Citation

  • Onur Baser, 2007. "Propensity Score Matching with Limited Overlap," Economics Bulletin, AccessEcon, vol. 9(8), pages 1-8.
    • Handle: RePEc:ebl:ecbull:eb-07i10005
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/pubs/EB/2007/Volume9/EB-07I10005A.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    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. Meng-Wen Wu & Chung-Hua Shen & Ting-Hsuan Chen, 2017. "Application of multi-level matching between financial performance and corporate social responsibility in the banking industry," Review of Quantitative Finance and Accounting, Springer, vol. 49(1), pages 29-63, July.

    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. Matias Busso & Patrick Kline, 2008. "Do Local Economic Development Programs Work? Evidence from the Federal Empowerment Zone Program," Cowles Foundation Discussion Papers 1639, Cowles Foundation for Research in Economics, Yale University.
    2. Deininger, Klaus W. & Liu, Yanyan, 2008. "Economic and Social Impacts of Self-Help Groups in India," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6482, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. 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, August.
    4. 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.
    5. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2009. "Dealing with limited overlap in estimation of average treatment effects," Biometrika, Biometrika Trust, vol. 96(1), pages 187-199.
    6. de Brauw, Alan & Hoddinott, John, 2011. "Must conditional cash transfer programs be conditioned to be effective? The impact of conditioning transfers on school enrollment in Mexico," Journal of Development Economics, Elsevier, vol. 96(2), pages 359-370, November.
    7. Deininger, Klaus & Liu, Yanyan, 2013. "Economic and Social Impacts of an Innovative Self-Help Group Model in India," World Development, Elsevier, vol. 43(C), pages 149-163.
    8. Suzuki, Aya & Igei, Kengo, 2017. "Can Efficient Provision of Business Development Services Bring Better Results for SMEs?: Evidence from a Networking Project in Thailand," Working Papers 147, JICA Research Institute.
    9. Suzuki, Aya & Mano, Yukichi & Abebe, Girum, 2018. "Earnings, savings, and job satisfaction in a labor-intensive export sector: Evidence from the cut flower industry in Ethiopia," World Development, Elsevier, vol. 110(C), pages 176-191.
    10. Manuel S. Santos & Juan Pablo Rincon-Zapatero, 2007. "Moving the Goalposts: Differentiability of the Value Function without Interiority Assumptions," Working Papers 0614, University of Miami, Department of Economics.
    11. Sudhanshu Handa & John A. Maluccio, 2010. "Matching the Gold Standard: Comparing Experimental and Nonexperimental Evaluation Techniques for a Geographically Targeted Program," Economic Development and Cultural Change, University of Chicago Press, vol. 58(3), pages 415-447, April.
    12. Rahman, Mohammad Mahbubur, 2012. "Estimating the Effects of Social Safety Net Programmes in Bangladesh on Calorie Consumption of Poor Households," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 35(2), pages 67-85, June.
    13. Lucija Muehlenbachs & Elisheba Spiller & Christopher Timmins, 2015. "The Housing Market Impacts of Shale Gas Development," American Economic Review, American Economic Association, vol. 105(12), pages 3633-3659, December.
    14. Andrea Pufahl & Christoph R. Weiss, 2009. "Evaluating the effects of farm programmes: results from propensity score matching," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 36(1), pages 79-101, March.
    15. Paolo Naticchioni & Silvia Loriga, 2011. "Short and Long Term Evaluations of Public Employment Services in Italy," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 57(3), pages 201-229.
    16. Jean-Louis Combes & Alexandru Minea & Pegdéwendé Nestor Sawadogo, 2019. "Assessing the effects of combating illicit financial flows on domestic tax revenue mobilization in developing countries," Post-Print halshs-02315734, HAL.
    17. Qiangmin, XI & Peng, JI, 2023. "Does the development zone promote population urbanization? Evidence from China," Land Use Policy, Elsevier, vol. 131(C).
    18. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    19. Agnes Quisumbing & Neha Kumar, 2011. "Does social capital build women's assets? The long-term impacts of group-based and individual dissemination of agricultural technology in Bangladesh," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 3(2), pages 220-242.
    20. Cameron Truong, 2013. "The January effect, does options trading matter?," Australian Journal of Management, Australian School of Business, vol. 38(1), pages 31-48, April.

    More about this item

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health

    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:ebl:ecbull:eb-07i10005. 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: John P. Conley (email available below). General contact details of provider: .

    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.