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Adult Equivalent Scales Once More—A Developmental Approach

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  • John R. Tedford
  • Oral Capps
  • Joseph Havlicek

Abstract

Descriptions of adult equivalent scale models typically do not explain why or provide the explicit rationale underlying their selected age classes and life cycle components. A model is presented where the life cycle is comprised of a sequence of developmental and transitional phases. A comparison of adult scale parameter estimates for total food expenditure from this model is made with estimates from the Blokland and Buse-Salathe models. The findings suggest that the Blokland model is too restrictive to portray consumer behavior over the life cycle. Empirical results based on the proposed model are similar to those based on the Buse-Salathe model.

Suggested Citation

  • John R. Tedford & Oral Capps & Joseph Havlicek, 1986. "Adult Equivalent Scales Once More—A Developmental Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(2), pages 322-333.
    • Handle: RePEc:oup:ajagec:v:68:y:1986:i:2:p:322-333.
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    File URL: http://hdl.handle.net/10.2307/1241434
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    Citations

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    Cited by:

    1. Brian W. Gould, 2002. "Household composition and food expenditures in China," Agribusiness, John Wiley & Sons, Ltd., vol. 18(3), pages 387-407.
    2. Lopez, Jose Antonio & Malaga, Jaime E., 2009. "Estimation of a Censored Demand System in Stratified Sampling: An Analysis of Mexican Meat Demand at the Table Cut Level," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 46294, Southern Agricultural 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. Brandt, Jon & Wilkinson, Ann, 1989. "Incorporating Demographic Information in an Almost Ideal Demand System," Working Papers 256738, University of Missouri Columbia, Department of Agricultural Economics.
    5. Hiroshi Mori & Toshio Inaba & John Dyck, 2016. "Accounting for structural changes in demand for foods in the presence of age and cohort effects: the case of fresh fish in Japan," Evolutionary and Institutional Economics Review, Springer, vol. 13(2), pages 363-379, December.
    6. 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.
    7. Goungetas, Basile & Jensen, Helen H. & Johnson, Stanely R., 1990. "Incorporating Demographic Information in Demand Analysis," 1990 Annual meeting, August 5-8, Vancouver, Canada 270893, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Lopez, Jose Antonio & Malaga, Jaime E., 2009. "Forecast and Simulation Analysis of Mexican Meat Consumption at the Table Cut Level: Impacts on U.S. Exports," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 51986, Agricultural and Applied Economics Association.

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