IDEAS home Printed from https://ideas.repec.org/a/ags/sojoae/30496.html
   My bibliography  Save this article

Future Structure Of The Texas Cattle Feeding Industry As Projected By Transition Probabilities Utilizing A Convex Program

Author

Listed:
  • Davis, Ernest E.

Abstract

No abstract is available for this item.

Suggested Citation

  • Davis, Ernest E., 1971. "Future Structure Of The Texas Cattle Feeding Industry As Projected By Transition Probabilities Utilizing A Convex Program," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 3(1), pages 1-7, December.
    • Handle: RePEc:ags:sojoae:30496
    DOI: 10.22004/ag.econ.30496
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/30496/files/03010087.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.30496?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. Farris, Paul L. & Padberg, Daniel I., 1964. "Measures of Market Structure Change in The Florida Fresh Citrus Packing Industry," Journal of Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, vol. 16(4), pages 1-12, October.
    2. T. C. Lee & G. G. Judge & T. Takayama, 1965. "On Estimating the Transition Probabilities of a Markov Process," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 47(3), pages 742-762.
    3. Krenz, Ronald D., 1964. "Projection of Farm Numbers for North Dakota With Markov Chains," Journal of Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, vol. 16(3), pages 1-7, July.
    4. Daniel I. Padberg, 1962. "The Use of Markov Processes in Measuring Changes in Market Structure," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 44(1), pages 189-199.
    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. Dent, Warren Thomas & Ballintine, Richard, 1971. "A Review Of The Estimation Of Transition Probabilities In Markov Chains," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 15(2), pages 1-13, August.
    2. Piet, Laurent, 2008. "The evolution of farm size distribution: revisiting the Markov chain model," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44269, European Association of Agricultural Economists.
    3. Legrand D. F, Saint-Cyr, 2017. "Farm heterogeneity and agricultural policy impacts on size dynamics: evidence from France," Working Papers SMART 17-04, INRAE UMR SMART.
    4. Burnham, Bruce O., 1973. "Markov Intertemporal Land Use Simulation Model," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 5(1), pages 1-6, July.
    5. Lin, William W. & Coffman, George & Penn, J. B., 1980. "U.S. Farm Numbers, Sizes, and Related Structural Dimensions: Projections to Year 2000," Technical Bulletins 157730, United States Department of Agriculture, Economic Research Service.
    6. Saint-Cyr, Legrand D. F., 2016. "Accounting for farm heterogeneity in the assessment of agricultural policy impacts on structural change," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235778, Agricultural and Applied Economics Association.
    7. Saint-Cyr, Legrand D. F., 2016. "Farm segmentation and agricultural policy impacts on structural change: evidence from France," 149th Seminar, October 27-28, 2016, Rennes, France 244789, European Association of Agricultural Economists.
    8. Stokes, Jeffrey R., 2006. "Entry, Exit, and Structural Change in Pennsylvania's Dairy Sector," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 35(2), pages 1-17, October.
    9. Piet, Laurent, 2011. "Assessing structural change in agriculture with a parametric Markov chain model. Illustrative applications to EU-15 and the USA," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114668, European Association of Agricultural Economists.
    10. Disney, W. Terry & Duffy, Patricia A. & Hardy, William E., Jr., 1988. "A Markov Chain Analysis Of Pork Farm Size Distributions In The South," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 20(2), pages 1-8, December.
    11. Singh, Mahendra, 2008. "Structural Changes in Horticulture Sector in India: Retrospect and Prospect for XIth Five Year Plan," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 63(3), pages 1-17.
    12. Alexander Gocht & Norbert Röder & Sebastian Neuenfeldt & Hugo Storm & Thomas Heckelei, 2012. "Modelling farm structural change: A feasibility study for ex-post modelling utilizing FADN and FSS data in Germany and developing an ex-ante forecast module for the CAPRI farm type layer baseline," JRC Research Reports JRC75524, Joint Research Centre.
    13. Smith, Matthew G., 1988. "A Conditional Approach To Projecting Farm Structure," Staff Reports 278025, United States Department of Agriculture, Economic Research Service.
    14. N. Vijayamohanan Pillai, 2004. "Causality and error correction in Markov chain: Inflation in India revisited," Centre for Development Studies, Trivendrum Working Papers 366, Centre for Development Studies, Trivendrum, India.
    15. Kim, C.S. & Hallahan, Charles B. & Schaible, Glenn D. & Leath, Mack N., 2000. "A Decomposed Regression Model For Measuring Structural Changes In The Flour Milling Industry," 2000 Annual meeting, July 30-August 2, Tampa, FL 21834, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    16. Karantininis, Kostas, 2002. "Information-based estimators for the non-stationary transition probability matrix: an application to the Danish pork industry," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 275-290, March.
    17. Stavins, R. N. & Stanton, B. F., 1980. "Alternative Procedures For Estimating The Size Distribution Of Farms," Journal of the Northeastern Agricultural Economics Council, Northeastern Agricultural and Resource Economics Association, vol. 9(2), pages 1-6, October.
    18. Jeffrey M. Gillespie & Joan R. Fulton, 2001. "A Markov chain analysis of the size of hog production firms in the United States," Agribusiness, John Wiley & Sons, Ltd., vol. 17(4), pages 557-570.
    19. Legrand D. F. Saint-Cyr & Laurent Piet, 2017. "Movers and stayers in the farming sector: accounting for unobserved heterogeneity in structural change," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(4), pages 777-795, August.
    20. García, Jorge H. & Garmestani, Ahjond S. & Karunanithi, Arunprakash T., 2011. "Threshold transitions in a regional urban system," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1-2), pages 152-159, April.

    More about this item

    Keywords

    Livestock Production/Industries;

    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:sojoae:30496. 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.