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Evaluation of Development Policy: Treatment versus Program Effects

Author

Listed:
  • Chris Elbers

    (VU University Amsterdam)

  • Jan Willem Gunning

    (VU University Amsterdam)

Abstract

There is a growing interest, notably in development economics, in extending project evaluation methods to the evaluation of multiple interventions (“programs”). In program evaluations one is interested in the aggregate impact of a program rather than the effect on individual beneficiaries. In many situations randomized controlled trials cannot identify this impact. We propose a measure of program impact, the total program effect (TPE), which is a generalization of the treatment effect on the treated (ATET). We show how the TPE can be estimated.

Suggested Citation

  • Chris Elbers & Jan Willem Gunning, 2009. "Evaluation of Development Policy: Treatment versus Program Effects," Tinbergen Institute Discussion Papers 09-073/2, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20090073
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    File URL: https://papers.tinbergen.nl/09073.pdf
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    References listed on IDEAS

    as
    1. Elbers, Chris & Gunning, Jan Willem & de Hoop, Kobus, 2009. "Assessing Sector-wide Programs with Statistical Impact Evaluation: A Methodological Proposal," World Development, Elsevier, vol. 37(2), pages 513-520, February.
    2. James J. Heckman & Sergio Urzua & Edward Vytlacil, 2006. "Understanding Instrumental Variables in Models with Essential Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 389-432, August.
    3. Martin Ravallion, 2009. "Evaluation in the Practice of Development," World Bank Research Observer, World Bank Group, vol. 24(1), pages 29-53, March.
    4. Jishnu Das & Stefan Dercon & James Habyarimana & Pramila Krishnan, 2007. "Teacher Shocks and Student Learning: Evidence from Zambia," Journal of Human Resources, University of Wisconsin Press, vol. 42(4).
    5. Rodrik, Dani, 2008. "The New Development Economics: We Shall Experiment, but How Shall We Learn?," Working Paper Series rwp08-055, Harvard University, John F. Kennedy School of Government.
    6. Guido W. Imbens, 2010. "Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009)," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 399-423, June.
    7. Martin Ravallion & Emanuela Galasso & Teodoro Lazo & Ernesto Philipp, 2005. "What Can Ex-Participants Reveal about a Program’s Impact?," Journal of Human Resources, University of Wisconsin Press, vol. 40(1).
    8. James Heckman, 1997. "Instrumental Variables: A Study of Implicit Behavioral Assumptions Used in Making Program Evaluations," Journal of Human Resources, University of Wisconsin Press, vol. 32(3), pages 441-462.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    program evaluation; randomized controlled trials; policy evaluation; treatment heterogeneity; budget support; sector-wide programs; aid effectiveness;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • O22 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Project Analysis

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