IDEAS home Printed from https://ideas.repec.org/p/ags/saeana/45912.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/45912/files/Muhammad_Jones%20SAEA.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.45912?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    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, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Price, David W. & Gislason, Conrad, 2001. "Identification of habit in Japanese food consumption," Agricultural Economics, Blackwell, vol. 24(3), pages 289-295, March.
    2. Li, Gang & Song, Haiyan & Witt, Stephen F., 2006. "Time varying parameter and fixed parameter linear AIDS: An application to tourism demand forecasting," International Journal of Forecasting, Elsevier, vol. 22(1), pages 57-71.
    3. Diane Whitmore, 2002. "What Are Food Stamps Worth?," Working Papers 847, Princeton University, Department of Economics, Industrial Relations Section..
    4. Richards, Timothy J. & Patterson, Paul M., 1998. "New Varieties and the Returns to Commodity Promotion: Washington Fuji Apples," Working Papers 28541, Arizona State University, Morrison School of Agribusiness and Resource Management.
    5. Muhammad, Andrew & Jones, Keithly G., 2021. "The end of the trade war? Effects of tariff exclusions on U.S. forest products in China," Forest Policy and Economics, Elsevier, vol. 122(C).
    6. J. M. Gil & B. Dhehibi & M. Ben Kaabia & A. M. Angulo, 2004. "Non-stationarity and the import demand for virgin olive oil in the European Union," Applied Economics, Taylor & Francis Journals, vol. 36(16), pages 1859-1869.
    7. Silva, Andres & Dharmasena, Senarath, 2013. "Modeling Seasonal Unit Roots as a Simple Empirical Method to Handle Autocorrelation in Demand Systems: Evidence from UK Expenditure Data," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149928, Agricultural and Applied Economics Association.
    8. Nzaku, Kilungu & Houston, Jack E. & Fonsah, Esendugue Greg, 2012. "A Dynamic Application of the AIDS Model to Import Demand for Tropical Fresh Fruits in the USA," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126721, International Association of Agricultural Economists.
    9. Sherafatmand, Habibeh & Baghestany, Ali Akbar, 2015. "Comparison of Rotterdam Model versus almost ideal demand system for fish and red meat," International Journal of Agricultural Sciences and Technology (IJAGST), SvedbergOpen, vol. 54(1), June.
    10. Clements, Kenneth W. & Gao, Grace, 2015. "The Rotterdam demand model half a century on," Economic Modelling, Elsevier, vol. 49(C), pages 91-103.
    11. Okrent, Abigail M. & Alston, Julian M., 2011. "Demand for Food in the United States: A Review of Literature, Evaluation of Previous Estimates, and Presentation of New Estimates of Demand," Monographs, University of California, Davis, Giannini Foundation, number 251908, December.
    12. Sulgham, Anil K. & Zapata, Hector O., 2006. "A Dynamic Approach to Estimate Theoretically Consistent US Meat Demand System," 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida 35441, Southern Agricultural Economics Association.
    13. Koukouritakis, Minoas, 2005. "EU Accession Effects on the Demand for Manufactures: the Case of Greece," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 58(4), pages 471-488.
    14. Chang, Kuo-Liang & Elliott, Lisa M. & Sand, Shannon & Dailey, Rocky & Blachford, Sierra, 2014. "A Study of the Impacts of Social Media Outlets on Generation-X and Millennial Consumers’ Beef Consumption, with an Emphasis on the Importance of Nutrition Information," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169648, Agricultural and Applied Economics Association.
    15. Rodrigo García Arancibia & Edith Depetris Guiguet, 2020. "Brazilian Import Demand of Dairy Products with Emphasis in the Mercosul Context [Demanda brasileira de importações de laticínios com ênfase no contexo do Mercosul]," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), vol. 30(2), pages 551-577, May-Augus.
    16. Steele, Marie & Weatherspoon, Dave, 2016. "Demand for Varied Fruit and Vegetable Colors," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235912, Agricultural and Applied Economics Association.
    17. Peguero, Felipe & Kennedy, P. Lynn & Zapata, Hector O., 2018. "A Generalized Dynamic Inverse AIDS Model for Fresh Fruits and Vegetables: An Application to the U.S. Bell Pepper Industry," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266686, Southern Agricultural Economics Association.
    18. Kim, Chiho, 1987. "The demand for domestic services, capital services, wife's home time, and other inputs: an econometric analysis of technical and other changes affecting U.S. households, 1900-1985," ISU General Staff Papers 1987010108000012697, Iowa State University, Department of Economics.
    19. Minoas Koukouritakis, 2003. "EU Accession Effects on Imports of Manufactures: The case of Greece," University of Cyprus Working Papers in Economics 2-2003, University of Cyprus Department of Economics.
    20. Diane Whitmore, 2002. "What Are Food Stamps Worth?," Working Papers 847, Princeton University, Department of Economics, Industrial Relations Section..

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:saeana:45912. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/saeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.