IDEAS home Printed from https://ideas.repec.org/p/ags/saeatm/35111.html
   My bibliography  Save this paper

Testing Separability In A Generalized Ordinary Differential Demand System: The Case Of Nigerian Demand For Meat

Author

Listed:
  • Ogunyinka, Ebenezer
  • Marsh, Thomas L.

Abstract

This study investigates consumer demand for meat products in Nigeria and tests if any of the meat products are separable from one another. Estimating a generalized nested demand system, the Rotterdam model was selected using an adjusted likelihood ratio test. Results indicate that mutton and pork are more elastic than beef and poultry. Only pork was found to be separable from other meat types.

Suggested Citation

  • Ogunyinka, Ebenezer & Marsh, Thomas L., 2003. "Testing Separability In A Generalized Ordinary Differential Demand System: The Case Of Nigerian Demand For Meat," 2003 Annual Meeting, February 1-5, 2003, Mobile, Alabama 35111, Southern Agricultural Economics Association.
  • Handle: RePEc:ags:saeatm:35111
    DOI: 10.22004/ag.econ.35111
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/35111/files/sp03og01.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.35111?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
    ---><---

    References listed on IDEAS

    as
    1. Giancarlo Moschini & Daniele Moro & Richard D. Green, 1994. "Maintaining and Testing Separability in Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(1), pages 61-73.
    2. James Eales & Catherine Durham & Cathy R. Wessells, 1997. "Generalized Models of Japanese Demand for Fish," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(4), pages 1153-1163.
    3. Capps, Oral, Jr. & Tsai, Reyfong & Kirby, Raymond & Williams, Gary W., 1994. "A Comparison Of Demands For Meat Products In The Pacific Rim Region," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 19(1), pages 1-15, July.
    4. Blackorby, Charles & Davidson, Russell & Schworm, William, 1991. "Implicit separability: Characterisation and implications for consumer demands," Journal of Economic Theory, Elsevier, vol. 55(2), pages 364-399, December.
    5. Neves, Pedro Duarte, 1994. "A class of differential demand systems," Economics Letters, Elsevier, vol. 44(1-2), pages 83-86.
    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. Yeboah, Godfred & Maynard, Leigh J., 2004. "The Impact Of Bse, Fmd, And U.S. Export Promotion Expenditures On Japanese Meat Demand," 2004 Annual meeting, August 1-4, Denver, CO 19978, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Ogundari, Kolawole, 2012. "Demand For Quantity Versus Quality In Beef, Chicken And Fish Consumption In Nigeria," Revista de Economia e Agronegócio / Brazilian Review of Economics and Agribusiness, Federal University of Vicosa, Department of Agricultural Economics, vol. 10(1), pages 1-22.

    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. Eales, James S. & Roheim, Cathy A., 1999. "Testing Separability Of Japanese Demand For Meat And Fish Within Differential Demand Systems," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 24(1), pages 1-13, July.
    2. Daniele Moro & Paolo Sckokai, 2002. "Functional separability within a quadratic inverse demand system," Applied Economics, Taylor & Francis Journals, vol. 34(3), pages 285-293.
    3. Yeboah, Godfred & Maynard, Leigh J., 2004. "The Impact Of Bse, Fmd, And U.S. Export Promotion Expenditures On Japanese Meat Demand," 2004 Annual meeting, August 1-4, Denver, CO 19978, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Jung, Jione & Koo, Won W., 2002. "Demand For Meat And Fish Products In Korea," 2002 Annual meeting, July 28-31, Long Beach, CA 19895, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Lee, Young-Jae & Kennedy, P. Lynn, 2009. "Measurement Of Substitutability Between U.S. Domestic Catfish And Imported Fish," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 46782, Southern Agricultural Economics Association.
    6. 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.
    7. Serletis, Apostolos & Xu, Libo, 2021. "Consumption, Leisure, And Money," Macroeconomic Dynamics, Cambridge University Press, vol. 25(6), pages 1412-1441, September.
    8. Moro, Daniele & Sckokai, Paolo, 1999. "A Quadratic Inverse Demand System," 1999 Annual meeting, August 8-11, Nashville, TN 21560, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Ali Jadidzadeh & Apostolos Serletis, 2019. "The Demand for Assets and Optimal Monetary Aggregation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(4), pages 929-952, June.
    10. Abderraouf Laajimi & Boubaker Dhehibi & José Maria Gil, 2003. "The structure of food demand in Tunisai: a differential system approach," Cahiers d'Economie et Sociologie Rurales, INRA Department of Economics, vol. 66, pages 55-77.
    11. Sato, Hideyasu, 2021. "Generalized Axiom of Revealed Preference Tests for Foods and Drinks: The Case of Using POS Data in Japan," 2021 ASAE 10th International Conference (Virtual), January 11-13, Beijing, China 329424, Asian Society of Agricultural Economists (ASAE).
    12. Sato, Hideyasu & 佐藤, 秀保, 2020. "Do Large-scale Point-of-sale Data Satisfy the Generalized Axiom of Revealed Preference in Aggregation Using Representative Price Indexes?: A Case Involving Processed Food and Beverages," RCESR Discussion Paper Series DP19-2, Research Center for Economic and Social Risks, Institute of Economic Research, Hitotsubashi University.
    13. Tullaya Boonsaeng & Michael K. Wohlgenant, 2009. "A Dynamic Approach to Estimating and Testing Separability in U.S. Demand for Imported and Domestic Meats," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 57(1), pages 139-157, March.
    14. Eales, James S. & Hyde, Jeffrey & Schrader, Lee F., 1998. "A Note On Dealing With Poultry In Demand Analysis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 23(2), pages 1-10, December.
    15. Eales, James S. & Henderson, Jason R., 2000. "The Impact Of Negativity On Separability Testing," 2000 Annual meeting, July 30-August 2, Tampa, FL 21817, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    16. Dhar, Tirtha Pratim & Chavas, Jean-Paul & Gould, Brian W., 2002. "An Empirical Assessment of Endogeneity Issues In Demand Analysis for Differentiated Products," Research Reports 25227, University of Connecticut, Food Marketing Policy Center.
    17. Boonsaeng, Tullaya & Wohlgenant, Michael K., 2006. "Testing Separability between Import and Domestic Commodities: Application to U.S. Meat Demand in a Dynamic Model," 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida 35267, Southern Agricultural Economics Association.
    18. Dong, Fengxia & Fuller, Frank H., 2004. "Testing For Separability And Structural Change In Urban Chinese Food Demand," 2004 Annual meeting, August 1-4, Denver, CO 19923, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    19. Gary K.K. Wong & Keith R. McLaren, 2002. "Regular and Estimable Inverse Demand Systems: A Distance Function Approach," Monash Econometrics and Business Statistics Working Papers 6/02, Monash University, Department of Econometrics and Business Statistics.
    20. Shashika D. Rathnayaka & Saroja Selvanathan & E. A. Selvanathan, 2021. "Demand for animal‐derived food in selected Asian countries: A system‐wide analysis," Agricultural Economics, International Association of Agricultural Economists, vol. 52(1), pages 97-122, January.

    More about this item

    Keywords

    Consumer/Household Economics;

    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:saeatm:35111. 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.