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Distribution of Budget Shares for Food: An Application of Quantile Regression to Food Security 1

Author

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  • Charles B. Moss

    (Food and Resource Economics Department, University of Florida, 1175 McCarty Hall, PO Box 110240, Gainesville, FL 32611-0240, USA)

  • James F. Oehmke

    (U.S. Agency for International Development, RRB 2.10-269, 1300 Pennsylvania Avenue, Washington, DC 20523, USA
    These authors contributed equally to this work.)

  • Alexandre Lyambabaje

    (School of Public Health, National University of Rwanda, PO Box 5229, Kigali, Rwanda
    These authors contributed equally to this work.)

  • Andrew Schmitz

    (Food and Resource Economics Department, University of Florida, 1130 McCarty Hall, PO Box 110240, Gainesville, FL 32611-0240, USA
    These authors contributed equally to this work.)

Abstract

This study examines, using quantile regression, the linkage between food security and efforts to enhance smallholder coffee producer incomes in Rwanda. Even though in Rwanda smallholder coffee producer incomes have increased, inhabitants these areas still experience stunting and wasting. This study examines whether the distribution of the income elasticity for food is the same for coffee and noncoffee growing provinces. We find that that the share of expenditures on food is statistically different in coffee growing and noncoffee growing provinces. Thus, the increase in expenditure on food is smaller for coffee growing provinces than noncoffee growing provinces.

Suggested Citation

  • Charles B. Moss & James F. Oehmke & Alexandre Lyambabaje & Andrew Schmitz, 2016. "Distribution of Budget Shares for Food: An Application of Quantile Regression to Food Security 1," Econometrics, MDPI, vol. 4(2), pages 1-12, April.
  • Handle: RePEc:gam:jecnmx:v:4:y:2016:i:2:p:22-:d:67847
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    References listed on IDEAS

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    1. Kim, Jae H., 2006. "Wild bootstrapping variance ratio tests," Economics Letters, Elsevier, vol. 92(1), pages 38-43, July.
    2. 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.
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    Cited by:

    1. Weatherspoon Dave D. & Miller Steven R. & Niyitanga Fidele & Weatherspoon Lorraine J. & Oehmke James F., 2021. "Rwanda’s Commercialization of Smallholder Agriculture: Implications for Rural Food Production and Household Food Choices," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 19(1), pages 51-62, May.
    2. Ebenezer Lemven Wirba & Francis Menjo Baye, 2016. "Accounting for Urban-Rural Real Food Expenditure Differentials in Cameroon: A Quantile Regression-Based Decomposition," EuroEconomica, Danubius University of Galati, issue 2(35), pages 61-77, November.
    3. Aimable Nsabimana & Ranjula Bali Swain & Yves Surry & Jean Chrysostome Ngabitsinze, 2020. "Income and food Engel curves in Rwanda: a household microdata analysis," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 8(1), pages 1-20, December.

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