[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/ags/nareaj/159254.html
   My bibliography  Save this article

Application of the Least Absolute Value Technique as a Data Filter for Detecting Structural Change in the Demand for Meat

Author

Listed:
  • Yanagida, John F.
  • Book, Don N.
Abstract
No abstract is available for this item.

Suggested Citation

  • Yanagida, John F. & Book, Don N., 1984. "Application of the Least Absolute Value Technique as a Data Filter for Detecting Structural Change in the Demand for Meat," Journal of the Northeastern Agricultural Economics Council, Northeastern Agricultural and Resource Economics Association, vol. 13(1), pages 1-5, April.
    • Handle: RePEc:ags:nareaj:159254
    DOI: 10.22004/ag.econ.159254
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/159254/files/Application%20of.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.159254?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. A. Charnes & W. W. Cooper & R. O. Ferguson, 1955. "Optimal Estimation of Executive Compensation by Linear Programming," Management Science, INFORMS, vol. 1(2), pages 138-151, January.
    2. Wayne D. Purcell & Kenneth E. Nelson, 1976. "Recent Changes in Beef Grades: Issues and Analysis of the Yield Grade Requirement," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 58(3), pages 475-484.
    3. Dale Heien, 1977. "Price Determination Processes for Agricultural Sector Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 59(1), pages 126-132.
    4. Jean-Paul Chavas, 1983. "Structural Change in the Demand for Meat," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 65(1), pages 148-153.
    5. V. G. Ashar & T. D. Wallace, 1963. "A Sampling Study of Minimum Absolute Deviations Estimators," Operations Research, INFORMS, vol. 11(5), pages 747-758, October.
    Full references (including those not matched with items on IDEAS)

    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. Yanagida, John F. & Book, Don N., 1984. "Application of the Least Absolute Value Technique as a Data Filter for Detecting Structural Change in the Demand for Meat," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 0(Number 1), pages 1-5, April.
    2. Duncan, Steven Scott, 1986. "Accounting for recent changes in beef and pork marketing margins," ISU General Staff Papers 1986010108000017532, Iowa State University, Department of Economics.
    3. Hsu, Jane Lu, 2000. "Gradual Switching Structural Changes of Meat Consumption in Taiwan," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123663, Australian Agricultural and Resource Economics Society.
    4. Unterschultz, James R., 2000. "New Instruments For Co-Ordination And Risk Sharing Within The Canadian Beef Industry," Project Report Series 24046, University of Alberta, Department of Resource Economics and Environmental Sociology.
    5. Wojtek Michalowski & Włodzimierz Ogryczak, 2001. "Extending the MAD portfolio optimization model to incorporate downside risk aversion," Naval Research Logistics (NRL), John Wiley & Sons, vol. 48(3), pages 185-200, April.
    6. Kadziński, MiŁosz & Greco, Salvatore & SŁowiński, Roman, 2012. "Extreme ranking analysis in robust ordinal regression," Omega, Elsevier, vol. 40(4), pages 488-501.
    7. Thomas L. Saaty, 2013. "The Modern Science of Multicriteria Decision Making and Its Practical Applications: The AHP/ANP Approach," Operations Research, INFORMS, vol. 61(5), pages 1101-1118, October.
    8. Jeffrey T. LaFrance, 1990. "Incomplete Demand Systems And Semilogarithmic Demand Models," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 34(2), pages 118-131, August.
    9. Dima, Bogdan & Dincă, Marius Sorin & Spulbăr, Cristi, 2014. "Financial nexus: Efficiency and soundness in banking and capital markets," Journal of International Money and Finance, Elsevier, vol. 47(C), pages 100-124.
    10. Aadland, David, 2004. "Cattle cycles, heterogeneous expectations and the age distribution of capital," Journal of Economic Dynamics and Control, Elsevier, vol. 28(10), pages 1977-2002, September.
    11. Hamalainen, Raimo P. & Mantysaari, Juha, 2002. "Dynamic multi-objective heating optimization," European Journal of Operational Research, Elsevier, vol. 142(1), pages 1-15, October.
    12. Tsoukias, Alexis, 2008. "From decision theory to decision aiding methodology," European Journal of Operational Research, Elsevier, vol. 187(1), pages 138-161, May.
    13. Chen Zhen & Michael K. Wohlgenant, 2006. "Meat Demand under Rational Habit Persistence," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 54(4), pages 477-495, December.
    14. Marsh, John M., 1991. "Derived Demand Elasticities: Marketing Margin Methods Versus An Inverse Demand Model For Choice Beef," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 16(2), pages 1-10, December.
    15. Richard W. Cottle, 2017. "On “Pre-historic” Linear Programming and the Figure of the Earth," Journal of Optimization Theory and Applications, Springer, vol. 175(1), pages 255-277, October.
    16. W. Cooper & C. Lovell, 2011. "History lessons," Journal of Productivity Analysis, Springer, vol. 36(2), pages 193-200, October.
    17. Demirci, Mehmet & Bettinger, Pete, 2015. "Using mixed integer multi-objective goal programming for stand tending block designation: A case study from Turkey," Forest Policy and Economics, Elsevier, vol. 55(C), pages 28-36.
    18. Rafael Cortez & Ben Senauer, 1996. "Taste Changes in the Demand for Food by Demographic Groups in the United States: A Nonparametric Empirical Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 280-289.
    19. Moschini, Giancarlo, 1991. "Testing for Preference Change in Consumer Demand: An Indirectly Separable, Semiparametric Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(1), pages 111-117, January.
    20. Fleissig, 2015. "Changes in aggregate food demand over the business cycle," Applied Economics Letters, Taylor & Francis Journals, vol. 22(17), pages 1366-1371, November.

    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:nareaj:159254. 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/nareaea.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.