IDEAS home Printed from https://ideas.repec.org/a/ags/jlaare/30939.html
   My bibliography  Save this article

Existence Of Unique Limiting Probability Vectors In Stochastic Processes With Multiple Transition Matrices

Author

Listed:
  • Mjelde, James W.
  • Harris, Wesley D.
  • Conner, J. Richard
  • Schnitkey, Gary D.
  • Glover, Michael K.
  • Garoian, Lee

Abstract

Concepts associated with stochastic process containing multiple transition matricies are discussed. It is proved that under certain conditions, a process with m transition matrices has m unique limiting probability vectors. This result extends the notion of discrete Markov processes to problems with intrayear and interyear dynamics. An example using a large DP model illustrates the usefulness of the concepts developed to applied problems.

Suggested Citation

  • Mjelde, James W. & Harris, Wesley D. & Conner, J. Richard & Schnitkey, Gary D. & Glover, Michael K. & Garoian, Lee, 1992. "Existence Of Unique Limiting Probability Vectors In Stochastic Processes With Multiple Transition Matrices," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 17(2), pages 1-11, December.
  • Handle: RePEc:ags:jlaare:30939
    DOI: 10.22004/ag.econ.30939
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/30939/files/17020303.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.30939?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. Disney, W. Terry & Duffy, Patricia A. & Hardy, William E., 1988. "A Markov Chain Analysis of Pork Farm Size Distributions in the South," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 20(2), pages 57-64, December.
    2. Lee Garoian & James W. Mjelde & J. Richard Conner, 1990. "Optimal Strategies for Marketing Calves and Yearlings from Rangeland," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(3), pages 604-613.
    3. Oscar R. Burt & John R. Allison, 1963. "Farm Management Decisions With Dynamic Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 45(1), pages 121-136.
    4. 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.
    5. Gustafson, Cole R., 1989. "Stochastic Dynamic Modeling: An Aid To Agricultural Lender Decision Making," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 14(1), pages 1-9, July.
    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. Winsten, Jonathan R. & Stokes, Jeffrey R., 2004. "The efficacy of controlling phosphorus loading: the case of management-intensive grazing," Agricultural Systems, Elsevier, vol. 79(3), pages 283-303, March.

    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. 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.
    2. Disney, W. Terry & Duffy, Patricia A. & Hardy, William E., Jr., 1989. "A Markov Chain Analysis Of Pork Farm Size Distributions In The South: Reply," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 21(2), pages 1-2, December.
    3. 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.
    4. 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.
    5. Stokes, Jeffrey R., 2006. "Entry, Exit, and Structural Change in Pennsylvania's Dairy Sector," Agricultural and Resource Economics Review, Cambridge University Press, vol. 35(2), pages 357-373, October.
    6. 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.
    7. Rahelizatovo, Noro C. & Gillespie, Jeffrey M., 1999. "Dairy Farm Size, Entry, And Exit In A Declining Production Region," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 31(2), pages 1-15, August.
    8. Hua, Wei & Sohngen, Brent & Hite, Diane, 2005. "Assessing the Relationship Between Crop Choice and Land Use Change Using A Markov Model," 2005 Annual meeting, July 24-27, Providence, RI 19257, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Zimmermann, Andrea & Heckelei, Thomas, 2012. "Differences of farm structural change across European regions," Discussion Papers 162879, University of Bonn, Institute for Food and Resource Economics.
    10. 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.
    11. Timothy J. Lowe & Paul V. Preckel, 2004. "Decision Technologies for Agribusiness Problems: A Brief Review of Selected Literature and a Call for Research," Manufacturing & Service Operations Management, INFORMS, vol. 6(3), pages 201-208.
    12. Trapp, James N., 1989. "The Dawning Of The Age Of Dynamic Theory: Its Implications For Agricultural Economics Research And Teaching," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 21(1), pages 1-11, July.
    13. Thang, Tran Cong & Burton, Michael P. & Brennan, Donna C., 2009. "Optimal replanting and cutting rule for coffee farmers in Vietnam," 2009 Conference (53rd), February 11-13, 2009, Cairns, Australia 47638, Australian Agricultural and Resource Economics Society.
    14. Winsten, Jonathan R. & Stokes, Jeffrey R., 2004. "The efficacy of controlling phosphorus loading: the case of management-intensive grazing," Agricultural Systems, Elsevier, vol. 79(3), pages 283-303, March.
    15. Mathews, Kenneth H., Jr. & Arnade, Carlos Anthony & Jones, Keithly G., 2008. "Derived Demand for Cattle Feeding Inputs," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 26(1), pages 1-20.
    16. Weisensel, Ward P. & van Kooten, G. Cornelis, 1990. "Estimation Of Soil Erosion Time Paths: The Value Of Soil Moisture And Topsoil Depth Information," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 15(1), pages 1-10, July.
    17. Anderson, Jock R., 1972. "An Overview of Modelling in Agricultural Management," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 40(03), pages 1-12, September.
    18. McInerney, J. P., 1971. "Development in planning techniques with a practical potential in the 1970's - other developments," International Farm Management Association Congress Archive 330454, International Farm Management Association.
    19. Otima, Ruth M. A., 1994. "Predicting loan repayment performance: a case of Kenyan farm borrowers," ISU General Staff Papers 1994010108000018175, Iowa State University, Department of Economics.
    20. Jongeneel, Roelof A. & Tonini, Axel, 2008. "Dairy Quota and Farm Structural Change: A Case Study on the Netherlands," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6692, European Association of Agricultural Economists.

    More about this item

    Keywords

    Research Methods/ Statistical Methods;

    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:jlaare:30939. 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/waeaaea.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.