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Designing Impact Evaluations for Agricultural Projects

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Author Info

  • Paul Winters

    ()

  • Lina Salazar

    ()

  • Alessandro Maffioli

    ()

Abstract

The purpose of this guideline is to provide suggestions on designing impact evaluations for agricultural projects, particularly projects that directly target farmers, and seek to improve agricultural production, productivity and profitability. Specific issues in evaluating agricultural projects are addressed, including the need to use production-based indicators and to carefully consider indirect or spillover effects that are common in agricultural projects. The guideline considers the challenges of conducting impact evaluations of agricultural projects as well as the methods for assessing impact. Issues of collecting agricultural data for an impact evaluation and how to put together the overall design strategy in an evaluation plan are also covered. The guideline concludes with three case studies of impact evaluations designed for a technology adoption project in the Dominican Republic, a forestry/technology project in Nicaragua, and a crop insurance project in Peru.

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Bibliographic Info

Paper provided by Inter-American Development Bank, Office of Strategic Planning and Development Effectiveness (SPD) in its series SPD Working Papers with number 1007.

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Date of creation: Dec 2010
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Handle: RePEc:idb:spdwps:1007

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Related research

Keywords: Impact Evaluation; Agriculture; Technology Adoption; Development Effectiveness; Dominican Republic; PACTA; Nicaragua; APAGRO Program; Cotton Farmers; Peru;

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References

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  1. Stefan Dercon & Luc Christiaensen, 2007. "Consumption risk, technology adoption and poverty traps: evidence from Ethiopia," CSAE Working Paper Series 2007-06, Centre for the Study of African Economies, University of Oxford.
  2. Feder, Gershon & Just, Richard E & Zilberman, David, 1985. "Adoption of Agricultural Innovations in Developing Countries: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 255-98, January.
  3. Joshua D. Angrist & Victor Lavy, 1999. "Using Maimonides' Rule To Estimate The Effect Of Class Size On Scholastic Achievement," The Quarterly Journal of Economics, MIT Press, vol. 114(2), pages 533-575, May.
  4. Ximena V. Del Carpio & Norman Loayza & Gayatri Datar, 2011. "Is Irrigation Rehabilitation Good for Poor Farmers? An Impact Evaluation of a Non‐Experimental Irrigation Project in Peru," Journal of Agricultural Economics, Wiley Blackwell, vol. 62(2), pages 449-473, 06.
  5. Hongbin Cai & Yuyu Chen & Hanming Fang & Li-An Zhou, 2009. "Microinsurance, Trust and Economic Development: Evidence from a Randomized Natural Field Experiment," NBER Working Papers 15396, National Bureau of Economic Research, Inc.
  6. Barnett, Barry J. & Barrett, Christopher B. & Skees, Jerry R., 2008. "Poverty Traps and Index-Based Risk Transfer Products," World Development, Elsevier, vol. 36(10), pages 1766-1785, October.
  7. Amir K. Abadi Ghadim & David J. Pannell & Michael P. Burton, 2005. "Risk, uncertainty, and learning in adoption of a crop innovation," Agricultural Economics, International Association of Agricultural Economists, vol. 33(1), pages 1-9, 07.
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Cited by:
  1. Giuliani, Elisa & Pietrobelli, Carlo, 2014. "Social Network Analysis Methodologies for the Evaluation of Cluster Development Programs," CIRCLE Electronic Working Papers 2014/11, Lund University, CIRCLE - Center for Innovation, Research and Competences in the Learning Economy.

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