Price determination and dynamic adjustments: An inverse demand system approach to meat products in the United States

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.The authors are senior econometrician, Department of Risk Management, TRS, American Express Co., Phoenix, and assistant professor, Department of Applied Economics, University of Minnesota, St. Paul, respectively. The work was performed when the first author was an assistant research scientist at the Center for Agricultural and Rural Development, Department of Economics, Iowa State University, Ames. Journal Paper No. J-15784 of the Iowa Agriculture and Home Economics Experiment Station, Ames, Iowa. Project No. 3109.