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Alternative Estimates of Static and Dynamic Demand Systems for Canada

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  • Richard Green
  • Zuhair A. Hassan
  • S. R. Johnson

Abstract

Selected static and dynamic demand systems are applied to Canadian data for the period 1947–1972. Four commodity groups—durables, semi-durables, services and nondurables—are used for the major portion of the analysis. For the static systems, results for nine commodity groups are provided as a comparison. Income and price elasticity estimates, following from the static systems are, with the exception of the double log, proved reasonably similar. The estimates from the two dynamic systems, the dynamic linear expenditure and state adjustment models, appeared more plausible particularly for services and durable goods, where persistence in consumption patterns is generally observed. As related to other estimates from United States and Canadian data, these results seem to be more stable and more in agreement with a priori reasoning.

Suggested Citation

  • Richard Green & Zuhair A. Hassan & S. R. Johnson, 1978. "Alternative Estimates of Static and Dynamic Demand Systems for Canada," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 60(1), pages 93-107.
    • Handle: RePEc:oup:ajagec:v:60:y:1978:i:1:p:93-107.
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    File URL: http://hdl.handle.net/10.2307/1240165
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    Cited by:

    1. Cornell, Laurence D. & Sorenson, Vernon L., 1986. "Implications of Structural Change in U.S. Demand for Meat on U.S. Livestock and Grain Markets," Agricultural Economic Report Series 201355, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    2. Capps, Oral Jr. & Havlicek, Joseph Jr., 1981. "Criteria For Model Specification Of Demand Systems," 1981 Annual Meeting, July 26-29, Clemson, South Carolina 279294, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Dahlgran, Roger A., 1987. "Complete Flexibility Systems And The Stationarity Of U.S. Meat Demands," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 12(2), pages 1-12, December.
    4. Carriker, Gordon L. & Featherstone, Allen M. & Schroeder, Ted C., 1989. "Analysis of Kansas Farm Household Expenditures," Staff Papers 133752, Kansas State University, Department of Agricultural Economics.
    5. Pope, Rulon D. & Phipps, Tim T., 1980. "Homogeneity And Non-Nested Dynamic Single Equation Demand Models," Working Papers 225682, University of California, Davis, Department of Agricultural and Resource Economics.
    6. Menkhaus, Dale J. & St. Clair, James S. & Hallingbye, Stig, 1985. "A Reexamination Of Consumer Buying Behavior For Beef, Pork, And Chicken," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 10(1), pages 1-10, July.
    7. Koo, Won W. & Park, Chang J., 1988. "Econometric Analysis of Livestock Products Demand in Korea and Its Implications in the Korean Feed Grain Industry," Agricultural Economics Reports 23471, North Dakota State University, Department of Agribusiness and Applied Economics.
    8. Eales, James S., 1996. "A Symmetric Approach To Canadian Meat Demand Estimation," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 21(2), pages 1-13, December.
    9. Wilson, William W., 1994. "Demand For Wheat Classes By Pacific Rim Countries," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 19(1), pages 1-13, July.

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