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Program Evaluation and Spillover Effects

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  • Manuela Angelucci
  • Vincenzo Di Maro

Abstract

This note defines what spillover effects are, why it is important to measure them, and how to design a field experiment that will enable researchers to measure the average effects of the treatment in the presence of spillover effects on subjects both eligible and ineligible for the program. In addition, it discusses how to use nonexperimental methods for estimating spillover effects when the experimental design is not a viable option. Several practical examples are provided to show how spillover effects can be estimated. Evaluations that account for spillover effects should be designed in such a way that they explain both the cause of these effects and who is affected by them. Failure to have such an evaluation design can result in wrong policy recommendations and in the neglect of important mechanisms through which the program operates. To estimate the direct and indirect effect of a program, one has to use control groups that are not affected by the program either directly or indirectly. This often means selecting the control groups from different geographic units (e.g. the village or school). In order to understand the mechanisms that cause spillover effects one has to think about competing explanations and collect data on relevant outcomes. In many cases, unveiling the mechanisms behind the spillover effects results in a better understanding of how the program works in general.

Suggested Citation

  • Manuela Angelucci & Vincenzo Di Maro, 2010. "Program Evaluation and Spillover Effects," SPD Working Papers 1003, Inter-American Development Bank, Office of Strategic Planning and Development Effectiveness (SPD).
  • Handle: RePEc:idb:spdwps:1003
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    Cited by:

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    2. Beliyou Haile & Carlo Azzarri & Cleo Roberts & David J. Spielman, 2017. "Targeting, bias, and expected impact of complex innovations on developing-country agriculture: evidence from Malawi," Agricultural Economics, International Association of Agricultural Economists, vol. 48(3), pages 317-326, May.
    3. Manan Roy & Daniel Millimet & Rusty Tchernis, 2012. "Federal nutrition programs and childhood obesity: inside the black box," Review of Economics of the Household, Springer, vol. 10(1), pages 1-38, March.
    4. Ibanez, Marcela & Blackman, Allen, 2016. "Is Eco-Certification a Win–Win for Developing Country Agriculture? Organic Coffee Certification in Colombia," World Development, Elsevier, vol. 82(C), pages 14-27.
    5. Gustavo A. Crespi & Alessandro Maffioli & Pierre Mohnen & Gonzalo Vázquez, 2011. "Evaluating the Impact of Science, Technology and Innovation Programs: a Methodological Toolkit," SPD Working Papers 1104, Inter-American Development Bank, Office of Strategic Planning and Development Effectiveness (SPD).
    6. Giuliani, Elisa & Maffioli, Alessandro & Pacheco, Manuel & Pietrobelli, Carlo & Stucchi, Rodolfo, 2014. "Evaluating the Impact of Cluster Development Programs," Papers in Innovation Studies 2014/10, Lund University, CIRCLE - Centre for Innovation Research.
    7. Castro, Marcelo Araújo & Mattos, Enlinson & Regatieri, Rebeca, 2015. "Fiscal interactions and spillover effects of a federal grant to Brazilian municipalities," Textos para discussão 388, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    8. Githiomi, Caroline & Muriithi, Beatrice & Irungu, Patrick & Mwungu, Chris M. & Diiro, Gracious & Affognon, Hippolyte & Mburu, John & Ekesi, Sunday, 2019. "Economic analysis of spillover effects of an integrated pest management (IPM) strategy for suppression of mango fruit fly in Kenya," Food Policy, Elsevier, vol. 84(C), pages 121-132.
    9. Martin Persson, U. & Alpízar, Francisco, 2013. "Conditional Cash Transfers and Payments for Environmental Services—A Conceptual Framework for Explaining and Judging Differences in Outcomes," World Development, Elsevier, vol. 43(C), pages 124-137.
    10. Schmidt, Emily & Tadesse, Fanaye, 2017. "The sustainable land management program in the Ethiopian highlands: An evaluation of its impact on crop production:," ESSP working papers 103, International Food Policy Research Institute (IFPRI).
    11. Arthur Alik-Lagrange & Martin Ravallion, 2016. "Social Frictions to Knowledge Diffusion: Evidence from an Information Intervention," NBER Working Papers 21877, National Bureau of Economic Research, Inc.
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    13. Pascaline Dupas & Edward Miguel, 2016. "Impacts and Determinants of Health Levels in Low-Income Countries," NBER Working Papers 22235, National Bureau of Economic Research, Inc.
    14. Miguel Ángel Borrella Mas & Mariano Bosch Mossi & Marcello Sartarelli, 2016. "Non-Contributory Pensions Number-Gender Effects on Poverty and Household Decisions," Working Papers. Serie AD 2016-02, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).

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    More about this item

    Keywords

    Impact Evaluation; Spillover Effects; Field Experiments; Data Collection; Indirect Treatment Effect; Program Mechanisms;
    All these keywords.

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D62 - Microeconomics - - Welfare Economics - - - Externalities

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