Estimating preference change in meat demand in Saudi Arabia
The purpose of this paper is to investigate the preference change in the demand for meat subject to random coefficients in Saudi Arabia. A Fortran 77 program has been designed to estimate the demand function for meat using Kalman filtering techniques and maximum likelihood approach. The initial values of the coefficient and covariance estimates are an essential prior information in the Kalman filtering techniques. Results provide substantial random coefficients in red meat, implying important structural change occurs in red meat more than poultry and fish demand.
Volume (Year): 12 (1995)
Issue (Month): 1 (April)
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- Brown, Mark G. & Lee, Jonq-Ying, 1992. "A Dynamic Differential Demand System: An Application Of Translation," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 24(02), December.
- P. Tryfos & N. Tryphonopoulos, 1973. "Consumer Demand for Meat in Canada," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 55(4_Part_1), pages 647-652.
- Donald T. Sant, 1977. "Generalized Least Squares Applied to Time Varying Parameter Models," NBER Chapters,in: Annals of Economic and Social Measurement, Volume 6, number 3, pages 301-314 National Bureau of Economic Research, Inc.
- Chang, Hui-shyong, 1977. "Functional Forms and the Demand for Meat in the United States," The Review of Economics and Statistics, MIT Press, vol. 59(3), pages 355-359, August.
- Brown, Mark G. & Lee, Jong-Ying, 1992. "A Dynamic Differential Demand System: An Application of Translation," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 24(02), pages 1-10, December.
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