The demand for meat in Turkey, 1979-1989
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In this study , pooling of time series cross sectional data is used for constructing a demand model for the Turkish Meat Market. The demand functions are simultaneously estimated by Zellner's Seemingly Unrelated Regression Method, imposing homogeneity and symmetry restrictions. Furthermore, a structural change test is conducted in order to see whether there is a structural change between the subperiods 1979-1984 and 1985-1989. It is found that demand functions do not satisfy homogeneity restriction, implying that there is money illusion. A structural change is found in the demand for mutton implying there is a change in consumers' preferences between two subperiods.
KeywordsPooling time series cross sectional data
Seemingly Unrelated Regression
Chow Test and F Test