IDEAS home Printed from https://ideas.repec.org/a/ags/joaaec/56660.html
   My bibliography  Save this article

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

The generalized dynamic Rotterdam model was used in estimating U.S. demand for disaggregated catfish. The overall goal was to examine habit persistence in consumption and to determine the adjustment process in demand. Results indicated that it took up to 1 month for catfish-product demand to fully adjust to changes in expenditures and prices. Additionally, habit persistence played a role in demand where present consumption of a given product was positively affected by past consumption of that product. Consequently, U.S. catfish demand was significantly more elastic 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," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 41(3), pages 1-14, December.
  • Handle: RePEc:ags:joaaec:56660
    DOI: 10.22004/ag.econ.56660
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/56660/files/jaae226.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.56660?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. 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.
    2. Balcombe, K. G. & Davis, J. R., 1996. "An application of cointegration theory in the estimation of the almost ideal demand system for food consumption in Bulgaria," Agricultural Economics, Blackwell, vol. 15(1), pages 47-60, September.
    3. Mahmoud A. M. Bushehri, 2003. "Dynamic generalization of the Rotterdam model," Applied Economics Letters, Taylor & Francis Journals, vol. 10(5), pages 303-306, April.
    4. 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(01), pages 1-12, July.
    5. 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.
    6. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762, January.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    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. 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.
    3. Muhammad, Andrew & Leister, Amanda M. & McPhail, Lihong & Chen, Wei, 2014. "The evolution of foreign wine demand in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 58(3), July.
    4. Kadjo, Abena Lucie & Seale, James L. Jr., 2014. "U.S. Imports Demand for Cocoa Products by Country of Origin," 2014 Annual Meeting, February 1-4, 2014, Dallas, Texas 162464, Southern Agricultural Economics Association.
    5. 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.
    6. 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.
    7. 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.
    8. Diane Whitmore, 2002. "What Are Food Stamps Worth?," Working Papers 847, Princeton University, Department of Economics, Industrial Relations Section..
    9. Andres Silva & Senarath Dharmasena, 2016. "Considering seasonal unit root in a demand system: an empirical approach," Empirical Economics, Springer, vol. 51(4), pages 1443-1463, December.
    10. 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.
    11. 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.
    12. Sherafatmand, Habibeh & Baghestany, Ali Akbar, 2015. "Comparison of Rotterdam Model versus almost ideal demand system for fish and red meat," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 54(01), June.
    13. Muhammad, Andrew & Countryman, Amanda M., 2019. "In Vino ‘No’ Veritas: impacts of fraud on wine imports in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(4), October.
    14. 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.
    15. Clements, Kenneth W. & Gao, Grace, 2015. "The Rotterdam demand model half a century on," Economic Modelling, Elsevier, vol. 49(C), pages 91-103.
    16. 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).
    17. Milioti, Christina P. & Karlaftis, Matthew G., 2014. "Estimating multimodal public transport mode shares in Athens, Greece," Journal of Transport Geography, Elsevier, vol. 34(C), pages 88-95.
    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. 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.
    20. Luo, Xinjian & Sun, Changyou & Jiang, Hongfei & Zhang, Ying & Meng, Qian, 2015. "International trade after intervention: The case of bedroom furniture," Forest Policy and Economics, Elsevier, vol. 50(C), pages 180-191.

    More about this item

    Keywords

    Agribusiness; Consumer/Household Economics; Demand and Price Analysis; Food Consumption/Nutrition/Food Safety; Institutional and Behavioral Economics;
    All these keywords.

    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:joaaec:56660. 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.