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A Food Demand System Estimation for Rural Malawi: Estimates Using Third Integrated Household Survey Data

Author

Listed:
  • Maganga, Assa Mulagha
  • Phiri, M. Alexander R.
  • Mapemba, Lawrence D.
  • Gebremariam, Gebrelibanos G.
  • Dzanja, Josephy K.

Abstract

In contrast to the myriad of empirical work on food demand in other countries, very few studies have considered zero expenditures on some food groups. Those which have attempted have been based on techniques which result in endogeneity and inefficient estimates which in turn may misinform policy calibration. Improving on methodological flaw of previous studies, the present study censors zero expenditures in the first stage using simulation based maximum likelihood multivariate probit. In the second stage, Quadratic Almost Ideal Demand System which allows for a more realistic assumption of curvature in Engels curve is estimated. In turn, food expenditure and price elasticities are derived. In view of the high expenditure elasticities, considering a policy option that would enhance rural consumer income is desirable, since it will result in high consumption thereby providing more incentives for food production.

Suggested Citation

  • Maganga, Assa Mulagha & Phiri, M. Alexander R. & Mapemba, Lawrence D. & Gebremariam, Gebrelibanos G. & Dzanja, Josephy K., 2014. "A Food Demand System Estimation for Rural Malawi: Estimates Using Third Integrated Household Survey Data," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 174853, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea14:174853
    DOI: 10.22004/ag.econ.174853
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    References listed on IDEAS

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    1. J. Scott Shonkwiler & Steven T. Yen, 1999. "Two-Step Estimation of a Censored System of Equations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 972-982.
    2. Heien, Dale & Wessells, Cathy Roheim, 1990. "Demand Systems Estimation with Microdata: A Censored Regression Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(3), pages 365-371, July.
    3. James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
    4. Blanciforti, Laura & Green, Richard, 1983. "An Almost Ideal Demand System Incorporating Habits: An Analysis of Expenditures on Food and Aggregate Commodity Groups," The Review of Economics and Statistics, MIT Press, vol. 65(3), pages 511-515, August.
    5. Banks, James & Blundell, Richard & Lewbel, Arthur, 1996. "Tax Reform and Welfare Measurement: Do We Need Demand System Estimation?," Economic Journal, Royal Economic Society, vol. 106(438), pages 1227-1241, September.
    6. Ray, Ranjan, 1982. "The testing and estimation of complete demand systems on household budget surveys," European Economic Review, Elsevier, vol. 17(3), pages 349-369.
    7. Harald Tauchmann, 2005. "Efficiency of two-step estimators for censored systems of equations: Shonkwiler and Yen reconsidered," Applied Economics, Taylor & Francis Journals, vol. 37(4), pages 367-374.
    8. Diansheng Dong & Brian W. Gould & Harry M. Kaiser, 2004. "Food Demand in Mexico: An Application of the Amemiya-Tobin Approach to the Estimation of a Censored Food System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 1094-1107.
    9. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
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    Keywords

    Consumer/Household Economics; Demand and Price Analysis; Food Consumption/Nutrition/Food Safety; Research Methods/ Statistical Methods;
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