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Impact evaluation of multiple overlapping programs under a conditional independence assumption

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  • 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.

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  • 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
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    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.
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    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.

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