Abstract
In this study the process of retail meat price determination is depicted in the form of an inverse demand system taking into consideration the dynamic adjustments present in monthly consumption data. The general dynamic framework identifies both long run and short run effects in a systematic manner and allows direct estimation of the long run price and scale flexibilities that are consistent with theory. The empirical application based on monthly U.S. meat products data provides reasonable and promising results.
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