Program Evaluation and Spillover Effects
AbstractThis note defines what spillover effects are, why it is important to measure them, and how to design an evaluation that will enable researchers to measure the impact of the program in the presence of spillover effects on subjects both eligible and ineligible for the program. Several practical examples are provided to show how spillover effects can be estimated.
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Bibliographic InfoPaper provided by Inter-American Development Bank in its series IDB Publications with number 8631.
Date of creation: May 2010
Date of revision:
Health Care; Poverty; Rural development; Social Development; Impact Evaluation; Spillover Effects; Field Experiments; Data Collection; Indirect Treatment Effect; Program Mechanisms; Development Effectiveness;
Other versions of this item:
- 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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- Paul Winters & Lina Salazar & Alessandro Maffioli, 2010.
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- 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).
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