The impact of extension services on farming households in Western Kenya: A propensity score approach
The aim of this paper is to assess the impact of the adoption of technological packages in agriculture Kenya on the farming households, as promoted by the National Agriculture and Livestock Extension Programme (NALEP), a program run by the Government of Kenya. To this end, we collected data on beneficiaries through a survey of 1000 households in the district of Lugari, in Western Kenya. We use propensity score matching to compute the average treatment effect on the treated. We find evidence that: I) program beneficiaries changed their crop rotation practices; II) treated households increased their fertilizer dosage by 23.8%; IV) productivity per acre is not affected by the treatment; V) treated households also were less likely to store their surplus maize.
|Date of creation:||04 Apr 2013|
|Date of revision:||10 Jun 2013|
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- 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.
- Godtland, Erin & Sadoulet, Elisabeth & de Janvry, Alain & Murgai, Rinku & Ortiz, Oscar, 2003. "The Impact of Farmer-Field-Schools on Knowledge and Productivity: A Study of Potato Farmers in the Peruvian Andes," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt8hp835xx, Department of Agricultural & Resource Economics, UC Berkeley.
- Stefan Dercon & Daniel O. Gilligan & John Hoddinott & Tassew Woldehanna, 2009. "The Impact of Agricultural Extension and Roads on Poverty and Consumption Growth in Fifteen Ethiopian Villages," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(4), pages 1007-1021.
- Dercon, Stefan & Gilligan, Daniel O. & Hoddinott, John & Woldehan, Tassew, 2008. "The impact of agricultural extension and roads on poverty and consumption growth in fifteen Ethiopian villages:," IFPRI discussion papers 840, International Food Policy Research Institute (IFPRI).
- A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
- Jeffrey Smith & Petra Todd, 2003. "Does Matching Overcome Lalonde's Critique of Nonexperimental Estimators?," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20035, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
- Foster, Andrew D & Rosenzweig, Mark R, 1996. "Technical Change and Human-Capital Returns and Investments: Evidence from the Green Revolution," American Economic Review, American Economic Association, vol. 86(4), pages 931-953, September.
- Mark Rosenzweig & Andrew D. Foster, "undated". "Technical Change and Human Capital Returns and Investments: Evidence from the Green Revolution," Home Pages _065, University of Pennsylvania.
- Birkhaeuser, Dean & Evenson, Robert E & Feder, Gershon, 1991. "The Economic Impact of Agricultural Extension: A Review," Economic Development and Cultural Change, University of Chicago Press, vol. 39(3), pages 607-650, April.
- Birkhaeuser, D. & Everson, R. & Feder, G., 1989. "The Economic Impact Of Agriculture Extension: A Review," Papers 567, Yale - Economic Growth Center.
- James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Oxford University Press, vol. 64(4), pages 605-654.
- John DiNardo & Justin L. Tobias, 2001. "Nonparametric Density and Regression Estimation," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 11-28, Fall.
- DiNardo, John & Tobias, Justin, 2001. "Nonparametric Density and Regression Estimation," Staff General Research Papers Archive 12020, Iowa State University, Department of Economics.
- Jock R. Anderson, 2004. "Agricultural Extension: Good Intentions and Hard Realities," World Bank Research Observer, World Bank Group, vol. 19(1), pages 41-60.
- Alex Bryson & Richard Dorsett & Susan Purdon, 2002. "The use of propensity score matching in the evaluation of active labour market policies," LSE Research Online Documents on Economics 4993, London School of Economics and Political Science, LSE Library.
- Gaurav Datt & Martin Ravallion, 1998. "Farm productivity and rural poverty in India," Journal of Development Studies, Taylor & Francis Journals, vol. 34(4), pages 62-85.
- Datt, Gaurav & Ravallion, Martin, 1998. "Farm productivity and rural poverty in India," FCND discussion papers 42, International Food Policy Research Institute (IFPRI).
- Becerril, Javier & Abdulai, Awudu, 2010. "The Impact of Improved Maize Varieties on Poverty in Mexico: A Propensity Score-Matching Approach," World Development, Elsevier, vol. 38(7), pages 1024-1035, July.
- Alberto Abadie & Guido W. Imbens, 2008. "On the Failure of the Bootstrap for Matching Estimators," Econometrica, Econometric Society, vol. 76(6), pages 1537-1557, November.
- Alberto Abadie & Guido W. Imbens, 2006. "On the Failure of the Bootstrap for Matching Estimators," NBER Technical Working Papers 0325, National Bureau of Economic Research, Inc.
- Imbens, Guido & Abadie, Alberto, 2008. "On the Failure of the Bootstrap for Matching Estimators," Scholarly Articles 3043415, Harvard University Department of Economics.
- Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
- Rajeev H. Dehejia & Sadek Wahba, 1998. "Propensity Score Matching Methods for Non-experimental Causal Studies," NBER Working Papers 6829, National Bureau of Economic Research, Inc.
- Daniel Friedlander & David H. Greenberg & Philip K. Robins, 1997. "Evaluating Government Training Programs for the Economically Disadvantaged," Journal of Economic Literature, American Economic Association, vol. 35(4), pages 1809-1855, December.
- Bindlish, Vishva & Evenson, Robert E, 1997. "The Impact of T&V Extension in Africa: The Experience of Kenya and Burkina Faso," World Bank Research Observer, World Bank Group, vol. 12(2), pages 183-201, August.
- Mendola, Mariapia, 2007. "Agricultural technology adoption and poverty reduction: A propensity-score matching analysis for rural Bangladesh," Food Policy, Elsevier, vol. 32(3), pages 372-393, June.
- Jalan, Jyotsna & Ravallion, Martin, 2003. "Estimating the Benefit Incidence of an Antipoverty Program by Propensity-Score Matching," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(1), pages 19-30, January.
- Jyotsna Jalan & Martin Ravallion, 2000. "Estimating the Benefit Incidence of an Antipoverty Program by Propensity Score Matching," Econometric Society World Congress 2000 Contributed Papers 0873, Econometric Society.
- Bassi, Laurie J, 1984. "Estimating the Effect of Training Programs with Non-Random Selection," The Review of Economics and Statistics, MIT Press, vol. 66(1), pages 36-43, February.
- Pinstrup-Andersen, Per, 1985. "Food Prices and the Poor in Developing Countries," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 12(1-2), pages 69-81.
- Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
- Guido W. Imbens, 2003. "Nonparametric Estimation of Average Treatment Effects under Exogeneity: A Review," NBER Technical Working Papers 0294, National Bureau of Economic Research, Inc.
- Jinyong Hahn, 1998. "On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects," Econometrica, Econometric Society, vol. 66(2), pages 315-332, March.
- Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, 01.
- Augurzky, Boris & Schmidt, Christoph M., 2001. "The Propensity Score: A Means to An End," IZA Discussion Papers 271, Institute for the Study of Labor (IZA).
- Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November. Full references (including those not matched with items on IDEAS)
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