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

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  • Essama-Nssah, B.

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.

Suggested Citation

  • Essama-Nssah, B., 2006. "Propensity score matching and policy impact analysis - a demonstration in EViews," Policy Research Working Paper Series 3877, The World Bank.
  • Handle: RePEc:wbk:wbrwps:3877
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    References listed on IDEAS

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    Cited by:

    1. Seng, Kimty, 2017. "Considering the Effects of Mobile Phones on Financial Inclusion in Cambodia," MPRA Paper 82225, University Library of Munich, Germany, revised 27 Oct 2017.
    2. 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.

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    Keywords

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

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