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Programme evaluation and spillover effects

Author

Listed:
  • M. Angelucci
  • V. Di Maro
Abstract
This paper is a practical guide for researchers and practitioners who want to understand spillover effects in programme evaluation. It 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 subjects, both eligible and ineligible, for the programme in the presence of spillover effects. In addition, it 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 both 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 programme operates.

Suggested Citation

  • M. Angelucci & V. Di Maro, 2016. "Programme evaluation and spillover effects," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 8(1), pages 22-43, March.
    • Handle: RePEc:taf:jdevef:v:8:y:2016:i:1:p:22-43
    DOI: 10.1080/19439342.2015.1033441
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    More about this item

    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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