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The role of maize storage in stabilizing annual household maize consumption: an application of generalized propensity score matching

Author

Listed:
  • Kariuki, Sarah W.
  • De Groote, Hugo
  • Ndegwa, Michael K.

Abstract

Rural households in developing countries face yield risks and seasonal production amidst the desire for stable household consumption. While storage has been cited as one of the ways of smoothing consumption during the lean periods, there is little empirical evidence on the subject. The current study used a generalized propensity score approach to examine the impact of storage on maize consumption smoothing. Maize was found to be the main crop, mostly grown for home consumption. The amount bought increased during the leaner periods when the prices were higher. In addition, the coefficient of variation for total maize consumption for decreased with increase in the length of storage, indicating that indeed storage helps to smoothen consumption across the year and consequently improve household food security.

Suggested Citation

  • Kariuki, Sarah W. & De Groote, Hugo & Ndegwa, Michael K., 2016. "The role of maize storage in stabilizing annual household maize consumption: an application of generalized propensity score matching," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 246977, African Association of Agricultural Economists (AAAE).
    • Handle: RePEc:ags:aaae16:246977
    DOI: 10.22004/ag.econ.246977
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    References listed on IDEAS

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    1. repec:bla:scandj:v:94:y:1992:i:2:p:253-73 is not listed on IDEAS
    2. Kluve, Jochen & Schneider, Hilmar & Uhlendorff, Arne & Zhao, Zhong, 2007. "Evaluating Continuous Training Programs Using the Generalized Propensity Score," IZA Discussion Papers 3255, Institute of Labor Economics (IZA).
    3. Albert Park, 2006. "Risk and Household Grain Management in Developing Countries," Economic Journal, Royal Economic Society, vol. 116(514), pages 1088-1115, October.
    4. Ndegwa, Michael & De Groote, Hugo & Gitonga, Zachary & Bruce, Anani, 2015. "Effectiveness and Economics of Hermetic Bags for Maize Storage: Results of a Randomized Controlled Trial in Kenya," 2015 Conference, August 9-14, 2015, Milan, Italy 212524, International Association of Agricultural Economists.
    5. Jochen Kluve & Hilmar Schneider & Arne Uhlendorff & Zhong Zhao, 2012. "Evaluating continuous training programmes by using the generalized propensity score," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(2), pages 587-617, April.
    6. Jochen Kluve & Hilmar Schneider & Arne Uhlendorff & Zhong Zhao, 2012. "Evaluating continuous training programmes by using the generalized propensity score," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(2), pages 587-617, April.
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    Keywords

    Crop Production/Industries; Farm Management;

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