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Impact assessment of agricultural research in West Africa: an application of the propensity score matching methodology

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  • Liebenehm, Sabine
  • Affognon, Hippolyte
  • Waibel, Hermann

Abstract

Ex-post evaluation of agricultural research is aimed to empirically provide evidence of past investments’ effectiveness. This paper is intended to measure the immediate impact of livestock research activities on cattle farmers’ knowledge about trypanosomosis and its curative and preventive control strategies. According to the quasi-experimental design of the intervention, it is shown that its impact will be adequately estimated by propensity score matching (PSM). Based on data collected according to a knowledge, attitude and practice (KAP) questionnaire in the region of Kénédougou that is common to Mali and Burkina Faso, results indicate a significant gain in farmers’ know-how due to participation in livestock research activities.

Suggested Citation

  • Liebenehm, Sabine & Affognon, Hippolyte & Waibel, Hermann, 2009. "Impact assessment of agricultural research in West Africa: an application of the propensity score matching methodology," 2009 Conference, August 16-22, 2009, Beijing, China 50829, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae09:50829
    DOI: 10.22004/ag.econ.50829
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    References listed on IDEAS

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    4. David A Raitzer & Timothy G Kelley, 2008. "Assessing the contribution of impact assessment to donor decisions for international agricultural research," Research Evaluation, Oxford University Press, vol. 17(3), pages 187-199, September.
    5. 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.
    6. Godtland, Erin M & Sadoulet, Elisabeth & De Janvry, Alain & Murgai, Rinku & Ortiz, Oscar, 2004. "The Impact of Farmer Field Schools on Knowledge and Productivity: A Study of Potato Farmers in the Peruvian Andes," Economic Development and Cultural Change, University of Chicago Press, vol. 53(1), pages 63-92, October.
    7. DiPrete, Thomas A. & Gangl, Markus, 2004. "Assessing bias in the estimation of causal effects: Rosenbaum bounds on matching estimators and instrumental variables estimation with imperfect instruments," Discussion Papers, Research Unit: Labor Market Policy and Employment SP I 2004-101, WZB Berlin Social Science Center.
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    Cited by:

    1. Liebenehm, Sabine & Affognon, Hippolyte & Waibel, Hermann, 2011. "Impact Assessment of Livestock Research and Development in West Africa: A Propensity Score Matching Approach," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 50(3), pages 1-14.

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