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A note on estimation of the average treatment effect and average partial effect in nonlinear models

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  • Cuong Nguyen Viet

    (National Economics University)

Abstract

In the literature on program impact evaluation, the popular impact parameters can the average treatment effect, the average treatment effect on the treated, the average partial effect, and the average partial effect on the treated. In empirical studies, these parameters are not always presented and estimated clearly. In addition, when outcome functions are nonlinear, the estimation of these parameters is not straightforward. This paper discusses the estimation of these parameters in nonlinear models of outcomes and illustrates the estimation in an example of a micro-credit program in Vietnam.

Suggested Citation

  • Cuong Nguyen Viet, 2008. "A note on estimation of the average treatment effect and average partial effect in nonlinear models," Economics Bulletin, AccessEcon, vol. 15(15), pages 1-13.
    • Handle: RePEc:ebl:ecbull:eb-08o10018
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    References listed on IDEAS

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    1. Richard Blundell & Monica Costa Dias, 2009. "Alternative Approaches to Evaluation in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    2. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    3. Heckman, James J. & Robb, Richard Jr., 1985. "Alternative methods for evaluating the impact of interventions : An overview," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 239-267.
    4. 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.
    5. 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.
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    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty

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