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Program Evaluation and Spillover Effects

Author

Listed:
  • Angelucci, Manuela

    (University of Texas at Austin)

  • Di Maro, Vincenzo

    (Jobs Knowledge Platform and World Bank)

Abstract

This paper is a practical guide for researchers and practitioners who want to understand spillover effects in program evaluation. The paper defines spillover effects and discusses why it is important to measure them. It explains how to design a field experiment to measure the average effects of the treatment on eligible and ineligible subjects for the program in the presence of spillover effects. In addition, the paper discusses the use of nonexperimental methods for estimating spillover effects when the experimental design is not a viable option. Evaluations that account for spillover effects should be designed such that they explain the cause of these effects and whom they affect. Such an evaluation design is necessary to avoid inappropriate policy recommendations and neglecting important mechanisms through which the program operates.

Suggested Citation

  • Angelucci, Manuela & Di Maro, Vincenzo, 2015. "Program Evaluation and Spillover Effects," IZA Discussion Papers 9033, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp9033
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    References listed on IDEAS

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    1. Pierre Dubois & Bruno Jullien & Thierry Magnac, 2008. "Formal and Informal Risk Sharing in LDCs: Theory and Empirical Evidence," Econometrica, Econometric Society, vol. 76(4), pages 679-725, July.
    2. Hirano, Keisuke & Hahn, Jinyong, 2010. "Design of randomized experiments to measure social interaction effects," Economics Letters, Elsevier, vol. 106(1), pages 51-53, January.
    3. David S. Lee & Thomas Lemieux, 2009. "Regression Discontinuity Designs In Economics," Working Papers 1118, Princeton University, Department of Economics, Industrial Relations Section..
    4. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    5. Ciro Avitabile, 2011. "Spillover Effects in Healthcare Programs: Evidence on Social Norms and Information Sharing," CSEF Working Papers 271, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy, revised 14 Mar 2011.
    6. Sarah Baird & Aislinn Bohren & Berk Ozler & Craig McIntosh, 2014. "Designing Experiments to Measure Spillover Effects," Working Papers 2014-11, The George Washington University, Institute for International Economic Policy.
    7. 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.
    8. Townsend, Robert M, 1994. "Risk and Insurance in Village India," Econometrica, Econometric Society, vol. 62(3), pages 539-591, May.
    9. Bruno Crépon & Esther Duflo & Marc Gurgand & Roland Rathelot & Philippe Zamora, 2013. "Do Labor Market Policies have Displacement Effects? Evidence from a Clustered Randomized Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(2), pages 531-580.
    10. Gustavo J. Bobonis & Frederico Finan, 2009. "Neighborhood Peer Effects in Secondary School Enrollment Decisions," The Review of Economics and Statistics, MIT Press, vol. 91(4), pages 695-716, November.
    11. Manuela Angelucci & Giacomo De Giorgi, 2009. "Indirect Effects of an Aid Program: How Do Cash Transfers Affect Ineligibles' Consumption?," American Economic Review, American Economic Association, vol. 99(1), pages 486-508, March.
    12. 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.
    13. Ciro Avitabile, 2011. "Spillover Effects in Healthcare Programs: Evidence on Social Norms and Information Sharing," CSEF Working Papers 271, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy, revised 14 Mar 2011.
    14. Dean Yang, 2008. "Can Enforcement Backfire? Crime Displacement in the Context of Customs Reform in the Philippines," The Review of Economics and Statistics, MIT Press, vol. 90(1), pages 1-14, February.
    15. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    16. Jeffrey I. Steinfeld, 1999. "Book," Journal of Industrial Ecology, Yale University, vol. 3(4), pages 145-147, October.
    17. Rafael Di Tella & Ernesto Schargrodsky, 2004. "Do Police Reduce Crime? Estimates Using the Allocation of Police Forces After a Terrorist Attack," American Economic Review, American Economic Association, vol. 94(1), pages 115-133, March.
    18. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
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    Keywords

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    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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