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Methods for Program Evaluation

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  • Porto, Guido

Abstract

Throughout this chapter we will study the general framework for program evaluation, with the aim of assessing the causal effect of a determine program, such as the impact of job-training program on earnings. The objective of this chapter is to provide the research with enough tools to think of the problem of causality in a consistent way and offer the reader the menu of sources of causal inference and the most up-to-date techniques to estimate treatment effects. This Chapter is only introductory, containing many references to encourage further readings on the field and should be accessible for those readers with a basic knowledge of econometrics and statistics. 

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  • Porto, Guido, 2011. "Methods for Program Evaluation," Papers 197, World Trade Institute.
    • Handle: RePEc:wti:papers:197
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    References listed on IDEAS

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    1. 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.
    2. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    3. Berlinski, Samuel & Galiani, Sebastian & Gertler, Paul, 2009. "The effect of pre-primary education on primary school performance," Journal of Public Economics, Elsevier, vol. 93(1-2), pages 219-234, February.
    4. Horowitz, Joel L., 2001. "The bootstrap and hypothesis tests in econometrics," Journal of Econometrics, Elsevier, vol. 100(1), pages 37-40, January.
    5. Edward Miguel & Michael Kremer, 2004. "Worms: Identifying Impacts on Education and Health in the Presence of Treatment Externalities," Econometrica, Econometric Society, vol. 72(1), pages 159-217, January.
    6. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    7. Härdle, Wolfgang & Horowitz, Joel L. & Kreiss, Jens-Peter, 2001. "Bootstrap methods for time series," SFB 373 Discussion Papers 2001,59, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    8. Ahn, Hyungtaik & Powell, James L., 1993. "Semiparametric estimation of censored selection models with a nonparametric selection mechanism," Journal of Econometrics, Elsevier, vol. 58(1-2), pages 3-29, July.
    9. Goldberger, Arthur S, 1972. "Structural Equation Methods in the Social Sciences," Econometrica, Econometric Society, vol. 40(6), pages 979-1001, November.
    10. Horowitz, Joel L., 2001. "The Bootstrap," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 52, pages 3159-3228, Elsevier.
    11. Joshua D. Angrist, 1995. "Conditioning on the Probability of Selection to Control Selection Bias," NBER Technical Working Papers 0181, National Bureau of Economic Research, Inc.
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