Advanced Search
MyIDEAS: Login

Propensity score matching and policy impact analysis - a demonstration in EViews

Contents:

Author Info

  • Essama-Nssah, B.
Registered author(s):

    Abstract

    Effective development policymaking creates a need for reliable methods of assessing effectiveness. There should be, therefore, an intimate relationship between effective policymaking and impact analysis. The goal of a development intervention defines the metric by which to assess its impact, while impact evaluation can produce reliable information on which policymakers may base decisions to modify or cancel ineffective programs and thus make the most of limited resources. This paper reviews the logic of propensity score matching (PSM) and, using data on the National Support Work Demonstration, compares that approach with other evaluation methods such as double difference, instrumental variable, and Heckman's method of selection bias correction. In addition, it demonstrates how to implement nearest-neighbor and kernel-based methods, and plot program incidence curves in E-Views. In the end, the plausibility of an evaluation method hinges critically on the correctness of the socioeconomic model underlying program design and implementation, and on the quality and quantity of available data. In any case, PSM can act as an effective adjuvant to other methods.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://www-wds.worldbank.org/servlet/WDSContentServer/WDSP/IB/2006/04/05/000012009_20060405111629/Rendered/PDF/wps38770rev0pdf.pdf
    Download Restriction: no

    Bibliographic Info

    Paper provided by The World Bank in its series Policy Research Working Paper Series with number 3877.

    as in new window
    Length:
    Date of creation: 01 Apr 2006
    Date of revision:
    Handle: RePEc:wbk:wbrwps:3877

    Contact details of provider:
    Postal: 1818 H Street, N.W., Washington, DC 20433
    Phone: (202) 477-1234
    Email:
    Web page: http://www.worldbank.org/
    More information through EDIRC

    Related research

    Keywords: Poverty Monitoring&Analysis; Poverty Impact Evaluation; Statistical&Mathematical Sciences; Scientific Research&Science Parks; Science Education;

    This paper has been announced in the following NEP Reports:

    References

    References listed on IDEAS
    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.:
    as in new window
    1. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    2. B. Essama-Nssah, 2004. "Empowerment and poverty-focused evaluation," Development Southern Africa, Taylor & Francis Journals, vol. 21(3), pages 509-530.
    3. Robert A. Moffitt, 2004. "Introduction to the Symposium on the Econometrics of Matching," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 1-3, February.
    4. Blundell, Richard & Costa Dias, Monica, 2008. "Alternative Approaches to Evaluation in Empirical Microeconomics," IZA Discussion Papers 3800, Institute for the Study of Labor (IZA).
    5. Natália Pimenta Monteiro, 2004. "Using propensity matching estimators to evaluate the impact of privatisation on wages," NIPE Working Papers 12/2004, NIPE - Universidade do Minho.
    6. Pedro Carneiro & Karsten T. Hansen & James J. Heckman, 2002. "Removing the Veil of Ignorance in Assessing the Distributional Impacts of Social Policies," NBER Working Papers 8840, National Bureau of Economic Research, Inc.
    7. Richard Blundell & Monica Costa Dias, 2000. "Evaluation methods for non-experimental data," Fiscal Studies, Institute for Fiscal Studies, vol. 21(4), pages 427-468, January.
    8. Caliendo, Marco & Kopeinig, Sabine, 2005. "Some Practical Guidance for the Implementation of Propensity Score Matching," IZA Discussion Papers 1588, Institute for the Study of Labor (IZA).
    9. Judy L. Baker, 2000. "Evaluating the Impact of Development Projects on Poverty : A Handbook for Practitioners," World Bank Publications, The World Bank, number 13949, October.
    10. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    11. Rajeev H. Dehejia & Sadek Wahba, 1998. "Causal Effects in Non-Experimental Studies: Re-Evaluating the Evaluation of Training Programs," NBER Working Papers 6586, National Bureau of Economic Research, Inc.
    12. Ravallion, Martin, 2005. "Evaluating anti-poverty programs," Policy Research Working Paper Series 3625, The World Bank.
    13. Jalan, Jyotsna & Ravallion, Martin, 2003. "Estimating the Benefit Incidence of an Antipoverty Program by Propensity-Score Matching," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(1), pages 19-30, January.
    14. Ravallion, Martin & Shaohua Chen, 2001. "Measuring pro-poor growth," Policy Research Working Paper Series 2666, The World Bank.
    15. Barbara Sianesi, 2001. "Propensity score matching," United Kingdom Stata Users' Group Meetings 2001 12, Stata Users Group, revised 23 Aug 2001.
    16. Lokshin, Michael & Yemtsov, Ruslan, 2003. "Evaluating the impact of infrastructure rehabilitation projects on household welfare in rural Georgia," Policy Research Working Paper Series 3155, The World Bank.
    17. Loader, Catherine, 2004. "Smoothing: Local Regression Techniques," Papers 2004,12, Humboldt-Universität Berlin, Center for Applied Statistics and Economics (CASE).
    18. Dabalen, Andrew & Paternostro, Stefano & Pierre, Gaelle, 2004. "The returns to participation in the non-farm sector in rural Rwanda," Policy Research Working Paper Series 3462, The World Bank.
    19. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    20. Marco Caliendo & Reinhard Hujer, 2006. "The microeconometric estimation of treatment effects—An overview," AStA Advances in Statistical Analysis, Springer, vol. 90(1), pages 199-215, March.
    21. Michael Lokshin & Zurab Sajaia, 2004. "Maximum likelihood estimation of endogenous switching regression models," Stata Journal, StataCorp LP, vol. 4(3), pages 282-289, September.
    22. Lee, Lung-Fei, 1983. "Generalized Econometric Models with Selectivity," Econometrica, Econometric Society, vol. 51(2), pages 507-12, March.
    23. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
    24. Petra E. Todd & Jeffrey A. Smith, 2001. "Reconciling Conflicting Evidence on the Performance of Propensity-Score Matching Methods," American Economic Review, American Economic Association, vol. 91(2), pages 112-118, May.
    25. Dehejia, Rajeev, 2005. "Practical propensity score matching: a reply to Smith and Todd," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 355-364.
    26. Heckman, James J & Ichimura, Hidehiko & Todd, Petra, 1998. "Matching as an Econometric Evaluation Estimator," Review of Economic Studies, Wiley Blackwell, vol. 65(2), pages 261-94, April.
    27. LaLonde, Robert J, 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," American Economic Review, American Economic Association, vol. 76(4), pages 604-20, September.
    28. James J. Heckman & Jeffrey A. Smith, 1995. "Assessing the Case for Social Experiments," Journal of Economic Perspectives, American Economic Association, vol. 9(2), pages 85-110, Spring.
    29. James J. Heckman, 1999. "Accounting for Heterogeneity, Diversity, and General Equilibriumin Evaluating Social Programs," NBER Working Papers 7230, National Bureau of Economic Research, Inc.
    30. Smith, Jeffrey & Todd, Petra, 2005. "Rejoinder," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 365-375.
    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 in new window

    Cited by:
    1. Himaz, Rozana, 2008. "Welfare Grants and Their Impact on Child Health: The Case of Sri Lanka," World Development, Elsevier, vol. 36(10), pages 1843-1857, October.

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:wbk:wbrwps:3877. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Roula I. Yazigi).

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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