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The Impact Of Equivalence Scales On The Analysis Of Income And Food Spending Distributions

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  • Blaylock, James R.

Abstract

This article examines the effects of different income and food spending adult equivalence scales on estimated expenditure elasticities, on the demographic characteristics of the rich and poor, and on the percentage of household income spent on food by various income quintiles. Empirical results are found to be heavily influenced by the choice of equivalence scales. For example, elasticities varied by over 300%, and the demographic characteristics of the poor varied greatly.

Suggested Citation

  • Blaylock, James R., 1991. "The Impact Of Equivalence Scales On The Analysis Of Income And Food Spending Distributions," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 16(01), pages 1-10, July.
    • Handle: RePEc:ags:wjagec:32623
    DOI: 10.22004/ag.econ.32623
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    References listed on IDEAS

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    1. Gronau, Reuben, 1988. "Consumption Technology and the Intrafamily Distribution of Resources:," Journal of Political Economy, University of Chicago Press, vol. 96(6), pages 1183-1205, December.
    2. Mark G. Brown & S. R. Johnson, 1984. "Equivalent Scales, Scale Economies, and Food Stamp Allotments: Estimates from the Nationwide Food Consumption Survey, 1977–78," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(3), pages 286-293.
    3. Blaylock, James R. & Smallwood, David M., 1986. "An Alternative Approach To Defining And Assessing Poverty Thresholds," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 11(01), pages 1-6, July.
    4. Lazear, Edward P & Michael, Robert T, 1980. "Family Size and the Distribution of Real Per Capita Income," American Economic Review, American Economic Association, vol. 70(1), pages 91-107, March.
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    Cited by:

    1. Lahoti Rahul & Jayadev Arjun & Reddy Sanjay, 2016. "The Global Consumption and Income Project (GCIP): An Overview," Journal of Globalization and Development, De Gruyter, vol. 7(1), pages 61-108, June.
    2. Gould, Brian W. & Sabates, Ricardo, 2001. "The Structure Of Food Demand In Urban China: A Demand System Approach," 2001 Annual meeting, August 5-8, Chicago, IL 20778, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Gould, Brian W. & Lee, Yoonjung & Dong, Diansheng & Villarreal, Hector J., 2002. "Household Size And Composition Impacts On Meat Demand In Mexico: A Censored Demand System Approach," 2002 Annual meeting, July 28-31, Long Beach, CA 19722, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Sabates, Ricardo & Gould, Brian W. & Villarreal, Hector J., 2001. "Household composition and food expenditures: a cross-country comparison," Food Policy, Elsevier, vol. 26(6), pages 571-586, December.
    5. Zhong, Funing & Xiang, Jing & Zhu, Jing, 2012. "Impact of demographic dynamics on food consumption — A case study of energy intake in China," China Economic Review, Elsevier, vol. 23(4), pages 1011-1019.
    6. Gianni Betti & Mehmet Ali Karadag & Ozlem Sarica & Baris Ucar, 2017. "How to Reduce the Impact of Equivalence Scales on Poverty Measurement: Evidence from Turkey," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 132(3), pages 1023-1035, July.
    7. Gould, Brian W. & Yen, Steven T., 2002. "Food Demand In Mexico: A Quasi-Maximum Likelihood Approach," 2002 Annual meeting, July 28-31, Long Beach, CA 19667, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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