Estimating preference change in meat demand in Saudi Arabia
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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.