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An Assessment Of Dynamic Behavior In The U.S. Catfish Market: An Application Of The Generalized Dynamic Rotterdam Model

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  • Muhammad, Andrew
  • Jones, Keithly G.

Abstract

Dynamic demand systems have been employed in a number of studies to account for habit formation and inventory adjustments in demand. Few studies have attempted to provide a theoretical foundation for the dynamic demand structures employed. Recently, Bushehri (2003) showed how a generalized dynamic Rotterdam model could be derived from the neoclassical intertemporal utility maximization problem; however, no empirical application is provided in his study. This paper provides an empirical application of the generalized dynamic Rotterdam model to the demand for processed catfish products in the U.S. The two-period dynamic Rotterdam model explained a significant amount of the variation in U.S. catfish demand and was preferred to the one-period and static models. Estimates suggest that buyers adjust short-run inventories such that the past sales negatively affect current sales. Given inventory adjustment behavior, demand was relatively more inelastic in the long-run.

Suggested Citation

  • Muhammad, Andrew & Jones, Keithly G., 2009. "An Assessment Of Dynamic Behavior In The U.S. Catfish Market: An Application Of The Generalized Dynamic Rotterdam Model," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 45912, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saeana:45912
    DOI: 10.22004/ag.econ.45912
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    References listed on IDEAS

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    1. Karagiannis, G. & Katranidis, S. & Velentzas, K., 2000. "An error correction almost ideal demand system for meat in Greece," Agricultural Economics, Blackwell, vol. 22(1), pages 29-35, January.
    2. K.G. Balcombe & J.R. Davis, 1996. "An application of cointegration theory in the estimation of the Almost Ideal Demand system for food consumption in Bulgaria," Agricultural Economics, International Association of Agricultural Economists, vol. 15(1), pages 47-60, September.
    3. Arnade, Carlos Anthony & Pick, Daniel H. & Vasavada, Utpal, 1993. "Testing Dynamic Specifications For Import Demand Models: The Case Of Cotton," Working Papers 51119, International Agricultural Trade Research Consortium.
    4. James L. Seale & Mary A. Marchant & Alberto Basso, 2003. "Imports versus Domestic Production: A Demand System Analysis of the U.S. Red Wine Market," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 25(1), pages 187-202.
    5. Blanciforti, Laura & Green, Richard, 1983. "An Almost Ideal Demand System Incorporating Habits: An Analysis of Expenditures on Food and Aggregate Commodity Groups," The Review of Economics and Statistics, MIT Press, vol. 65(3), pages 511-515, August.
    6. Benjamin Sexauer, 1977. "The Role of Habits and Stocks in Consumer Expenditure," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 91(1), pages 127-142.
    7. 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(2), pages 1-10, December.
    8. Seale, James L., Jr. & Sparks, Amy L. & Buxton, Boyd M., 1992. "A Rotterdam Application To International Trade In Fresh Apples: A Differential Approach," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 17(1), pages 1-12, July.
    9. Mahmoud A. M. Bushehri, 2003. "Dynamic generalization of the Rotterdam model," Applied Economics Letters, Taylor & Francis Journals, vol. 10(5), pages 303-306, April.
    10. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762, September.
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    Cited by:

    1. Walters, Lurleen M. & Jones, Keithly G., 2016. "Caribbean Food Import Demand: An Application of the CBS Differential Demand System," Journal of Food Distribution Research, Food Distribution Research Society, vol. 47(2), pages 1-19, July.

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    More about this item

    Keywords

    Demand and Price Analysis; Research Methods/ Statistical Methods;

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
    • Q17 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agriculture in International Trade

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