IDEAS home Printed from https://ideas.repec.org/a/eee/reecon/v63y2009i1p27-54.html
   My bibliography  Save this article

Impact evaluation of multiple overlapping programs under a conditional independence assumption

Author

Listed:
  • Cuong, Nguyen Viet

Abstract

Under the assumption on conditional independence between potential outcomes and program assignment, program impacts measured by the Average Treatment Effect (ATE) and the Average Treatment Effect on Treated (ATT) can be identified and estimated using cross-section regression or propensity score matching (PSM). Traditional impact literature often deals with the impact evaluation of a single program. In reality, one can participate in several programs simultaneously and the programs may be correlated. This paper discusses cross-section regression and PSM methods in this general context. It is shown that under the PSM method, impact of a program of interest can be measured as a weighted average of program impacts on groups with different program statuses. Estimation of impacts of multiple overlapping programs is illustrated using Monte Carlo simulation and an empirical example of impact measurement of international and internal remittances in Vietnam.

Suggested Citation

  • Cuong, Nguyen Viet, 2009. "Impact evaluation of multiple overlapping programs under a conditional independence assumption," Research in Economics, Elsevier, vol. 63(1), pages 27-54, March.
    • Handle: RePEc:eee:reecon:v:63:y:2009:i:1:p:27-54
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1090-9443(08)00037-9
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Markus Frölich, 2004. "Programme Evaluation with Multiple Treatments," Journal of Economic Surveys, Wiley Blackwell, vol. 18(2), pages 181-224, April.
    2. Adams, Richard H, Jr, 1989. "Worker Remittances and Inequality in Rural Egypt," Economic Development and Cultural Change, University of Chicago Press, vol. 38(1), pages 45-71, October.
    3. Stark, Oded & Taylor, J Edward & Yitzhaki, Shlomo, 1986. "Remittances and Inequality," Economic Journal, Royal Economic Society, vol. 96(383), pages 722-740, September.
    4. Guido W. Imbens, 1999. "The Role of the Propensity Score in Estimating Dose-Response Functions," NBER Technical Working Papers 0237, National Bureau of Economic Research, Inc.
    5. Stark, Oded & Taylor, J. Edward & Yitzhaki, Shlomo, 1988. "Migration, remittances and inequality : A sensitivity analysis using the extended Gini index," Journal of Development Economics, Elsevier, vol. 28(3), pages 309-322, May.
    6. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097, Elsevier.
    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. Nguyen Viet, Cuong, 2012. "Selection of Control Variables in Propensity Score Matching: Evidence from a Simulation Study," MPRA Paper 36377, University Library of Munich, Germany.
    2. Kristen Capogrossi & Wen You, 2017. "The Influence of School Nutrition Programs on the Weight of Low‐Income Children: A Treatment Effect Analysis," Health Economics, John Wiley & Sons, Ltd., vol. 26(8), pages 980-1000, August.

    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. Hämäläinen, Kari & Ollikainen, Virve, 2004. "Differential Effects of Active Labour Market Programmes in the Early Stages of Young People's Unemployment," Research Reports 115, VATT Institute for Economic Research.
    2. I-Ling Shen & Frédéric Docquier & Hillel Rapoport, 2010. "Remittances and inequality: a dynamic migration model," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 8(2), pages 197-220, June.
    3. Barham, Bradford & Boucher, Stephen, 1998. "Migration, remittances, and inequality: estimating the net effects of migration on income distribution," Journal of Development Economics, Elsevier, vol. 55(2), pages 307-331, April.
    4. Flores, Carlos A. & Mitnik, Oscar A., 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," IZA Discussion Papers 4451, Institute of Labor Economics (IZA).
    5. Muhammad Shahbaz & Ijaz Rehman & Nurul Mahdzan, 2014. "Linkages between income inequality, international remittances and economic growth in Pakistan," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(3), pages 1511-1535, May.
    6. Kahanec, Martin & Zimmermann, Klaus F., 2008. "Migration in an Enlarged EU: A Challenging Solution?," IZA Discussion Papers 3913, Institute of Labor Economics (IZA).
    7. Zhu, Nong & Luo, Xubei, 2008. "The impact of remittances on rural poverty and inequality in China," Policy Research Working Paper Series 4637, The World Bank.
    8. Zimmermann, Klaus F. & Kahanec, Martin, 2008. "International Migration, Ethnicity and Economic Inequality," CEPR Discussion Papers 6797, C.E.P.R. Discussion Papers.
    9. SeyedSoroosh Azizi, 2021. "The impacts of workers’ remittances on poverty and inequality in developing countries," Empirical Economics, Springer, vol. 60(2), pages 969-991, February.
    10. Wouterse, F. S., 2008. "Migration, poverty, and inequality: Evidence from Burkina Faso," IFPRI discussion papers 786, International Food Policy Research Institute (IFPRI).
    11. Nigussie Abadi & Ataklti Techane & Girmay Tesfay & Daniel Maxwell & Bapu Vaitla, 2018. "The impact of remittances on household food security: A micro perspective from Tigray, Ethiopia," WIDER Working Paper Series 040, World Institute for Development Economic Research (UNU-WIDER).
    12. Nguyen Viet, Cuong, 2008. "Impact Evaluation of Multiple Overlapping Programs using Difference-in-differences with Matching," MPRA Paper 24899, University Library of Munich, Germany.
    13. Nong Zhu & Xubei Luo, 2010. "The impact of migration on rural poverty and inequality: a case study in China," Agricultural Economics, International Association of Agricultural Economists, vol. 41(2), pages 191-204, March.
    14. Carlos A. Flores & Oscar A. Mitnik, 2013. "Comparing Treatments across Labor Markets: An Assessment of Nonexperimental Multiple-Treatment Strategies," The Review of Economics and Statistics, MIT Press, vol. 95(5), pages 1691-1707, December.
    15. Nigussie Abadi & Ataklti Techane & Girmay Tesfay & Daniel Maxwell & Bapu Vaitla, 2018. "The impact of remittances on household food security: A micro perspective from Tigray, Ethiopia," WIDER Working Paper Series wp-2018-40, World Institute for Development Economic Research (UNU-WIDER).
    16. Coulibaly, Issiaka & Dembélé, Moustapha, 2024. "Impacts of remittances from internal and international migrants on poverty and inequality in Mali," International Economics, Elsevier, vol. 177(C).
    17. Bang, James T. & Mitra, Aniruddha & Wunnava, Phanindra V., 2016. "Do remittances improve income inequality? An instrumental variable quantile analysis of the Kenyan case," Economic Modelling, Elsevier, vol. 58(C), pages 394-402.
    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. Michael Lechner & Ruth Miquel & Conny Wunsch, 2011. "Long‐Run Effects Of Public Sector Sponsored Training In West Germany," Journal of the European Economic Association, European Economic Association, vol. 9(4), pages 742-784, August.
    20. Taylor, J. Edward, 1992. "Remittances and inequality reconsidered: Direct, indirect, and intertemporal effects," Journal of Policy Modeling, Elsevier, vol. 14(2), pages 187-208, April.

    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:eee:reecon:v:63:y:2009:i:1:p:27-54. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/622941 .

    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.