IDEAS home Printed from https://ideas.repec.org/p/ags/aaea04/20168.html
   My bibliography  Save this paper

Consumption of Pork Products: Now and to the Year 2020

Author

Listed:
  • Davis, Christopher G.
  • Lin, Biing-Hwan
  • Yen, Steven T.

Abstract

Data from the recent USDA's food consumption surveys are used to describe pork consumption patterns, to estimate a censored demand system for pork cuts, and to forecast pork consumption. Results indicate that between 2000 and 2020, pork consumption is predicted to grow for all cuts mainly due to population growth.

Suggested Citation

  • Davis, Christopher G. & Lin, Biing-Hwan & Yen, Steven T., 2004. "Consumption of Pork Products: Now and to the Year 2020," 2004 Annual meeting, August 1-4, Denver, CO 20168, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea04:20168
    DOI: 10.22004/ag.econ.20168
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/20168/files/sp04da02.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.20168?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. Spanos,Aris, 1999. "Probability Theory and Statistical Inference," Cambridge Books, Cambridge University Press, number 9780521424080.
    2. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    3. Hajivassiliou, Vassilis A. & Ruud, Paul A., 1986. "Classical estimation methods for LDV models using simulation," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 40, pages 2383-2441, Elsevier.
    4. McDonald, John F & Moffitt, Robert A, 1980. "The Uses of Tobit Analysis," The Review of Economics and Statistics, MIT Press, vol. 62(2), pages 318-321, May.
    5. Amemiya, Takeshi, 1974. "Multivariate Regression and Simultaneous Equation Models when the Dependent Variables Are Truncated Normal," Econometrica, Econometric Society, vol. 42(6), pages 999-1012, November.
    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. Richard J. Vyn & Getu Hailu, 2015. "Discount Usage and Price Discrimination for Pork Products in Canada," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 63(4), pages 449-474, December.

    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. Yen, Steven T. & Fang, Cheng & Su, Shew-Jiuan, 2004. "Household food demand in urban China: a censored system approach," Journal of Comparative Economics, Elsevier, vol. 32(3), pages 564-585, September.
    2. Yen, Steven T. & Huang, Chung L., 2002. "Cross-Sectional Estimation Of U.S. Demand For Beef Products: A Censored System Approach," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(2), pages 1-15, December.
    3. McGuirk, Anya M. & Spanos, Aris, 2004. "Revisiting Error Autocorrelation Correction: Common Factor Restrictions And Granger Causality," 2004 Annual meeting, August 1-4, Denver, CO 20176, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Maurice J. G. Bun & Teresa D. Harrison, 2019. "OLS and IV estimation of regression models including endogenous interaction terms," Econometric Reviews, Taylor & Francis Journals, vol. 38(7), pages 814-827, August.
    5. Bergtold, Jason S. & Ramsey, Steven M., 2015. "Neural Network Estimators of Binary Choice Processes: Estimation, Marginal Effects and WTP," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205649, Agricultural and Applied Economics Association.
    6. McGuirk, Anya M. & Spanos, Aris, 2002. "The Linear Regression Model With Autocorrelated Errors: Just Say No To Error Autocorrelation," 2002 Annual meeting, July 28-31, Long Beach, CA 19905, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. David Aristei & Luca Pieroni, 2008. "A double-hurdle approach to modelling tobacco consumption in Italy," Applied Economics, Taylor & Francis Journals, vol. 40(19), pages 2463-2476.
    8. Steven M. Ramsey & Jason S. Bergtold, 2021. "Examining Inferences from Neural Network Estimators of Binary Choice Processes: Marginal Effects, and Willingness-to-Pay," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1137-1165, December.
    9. Christofides, Louis N. & Peng, Chen, 2006. "Contract duration and indexation in a period of real and nominal uncertainty," Labour Economics, Elsevier, vol. 13(1), pages 61-86, February.
    10. Oliviero A. Carboni & Giuseppe Medda, 2021. "Innovative activities and investment decision: evidence from European firms," The Journal of Technology Transfer, Springer, vol. 46(1), pages 172-196, February.
    11. Taniguchi, Kiyoshi & Chern, Wen S., 2000. "Income Elasticity Of Rice Demand In Japan And Its Implications: Cross-Sectional Data Analysis," 2000 Annual meeting, July 30-August 2, Tampa, FL 21755, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    12. Pace Guerrero, Ignacio & Berges, Miriam & Casellas, Karina, 2015. "An analysis of meat demand in Argentina using household survey data," Nülan. Deposited Documents 2316, Universidad Nacional de Mar del Plata, Facultad de Ciencias Económicas y Sociales, Centro de Documentación.
    13. Vasiliki Fourmouzi & Margarita Genius & Peter Midmore, 2012. "The Demand for Organic and Conventional Produce in London, UK: A System Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 63(3), pages 677-693, September.
    14. Bergtold, Jason S. & Taylor, Daniel B. & Bosch, Darrell J., 2003. "Networking Your Way to a Better Prediction: Effectively Modeling Contingent Valuation Survey Data," 2003 Annual meeting, July 27-30, Montreal, Canada 22152, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    15. Anya McGuirk & Aris Spanos, 2009. "Revisiting Error‐Autocorrelation Correction: Common Factor Restrictions and Granger Non‐Causality," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(2), pages 273-294, April.
    16. Diansheng Dong & Chanjin Chung & Harry Kaiser, 2004. "Modelling milk purchasing behaviour with a panel data double-hurdle model," Applied Economics, Taylor & Francis Journals, vol. 36(8), pages 769-779.
    17. Huang, Chung L. & Yen, Steven T., 2002. "Estimation Of A Demand System With Limited Dependent Variables," 2002 Annual meeting, July 28-31, Long Beach, CA 19592, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    18. Hillebrand, Eric & Schnabl, Gunther & Ulu, Yasemin, 2009. "Japanese foreign exchange intervention and the yen-to-dollar exchange rate: A simultaneous equations approach using realized volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(3), pages 490-505, July.
    19. Bernd Süssmuth, 2012. "The Econometric Analysis of Willingness to Pay for Intangibles with Experience Good Character," Chapters, in: Wolfgang Maennig & Andrew Zimbalist (ed.), International Handbook on the Economics of Mega Sporting Events, chapter 14, Edward Elgar Publishing.
    20. Alston Lee J. & Mueller Bernardo, 2018. "Priests, Conflicts and Property Rights: the Impacts on Tenancy and Land Use in Brazil," Man and the Economy, De Gruyter, vol. 5(1), pages 1-26, June.

    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:aaea04:20168. 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/aaeaaea.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.