IDEAS home Printed from https://ideas.repec.org/a/eee/dyncon/v20y1996i4p559-582.html
   My bibliography  Save this article

A maximum entropy approach to estimation and inference in dynamic models or Counting fish in the sea using maximum entropy

Author

Listed:
  • Golan, Amos
  • Judge, George
  • Karp, Larry

Abstract

No abstract is available for this item.

Suggested Citation

  • Golan, Amos & Judge, George & Karp, Larry, 1996. "A maximum entropy approach to estimation and inference in dynamic models or Counting fish in the sea using maximum entropy," Journal of Economic Dynamics and Control, Elsevier, vol. 20(4), pages 559-582, April.
    • Handle: RePEc:eee:dyncon:v:20:y:1996:i:4:p:559-582
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0165-1889(95)00864-0
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. M. S. Stauber & Oscar R. Burt & Fred Linse, 1975. "An Economic Evaluation of Nitrogen Fertilization of Grasses When Carry-over is Significant," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 57(3), pages 463-471.
    2. Fulton, Murray & Karp, Larry, 1989. "Estimating the objectives of a public firm in a natural resource industry," Journal of Environmental Economics and Management, Elsevier, vol. 16(3), pages 268-287, May.
    3. Hansen, Lars Peter & Sargent, Thomas J., 1980. "Formulating and estimating dynamic linear rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 2(1), pages 7-46, May.
    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. Chen, Ming & Karp, Larry, 2001. "Environmental Indices for the Chinese Grain Sector," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt20b782tc, Department of Agricultural & Resource Economics, UC Berkeley.
    2. Fernandez, Linda, 1997. "Estimation of Wastewater Treatment Objectives through Maximum Entropy," Journal of Environmental Economics and Management, Elsevier, vol. 32(3), pages 293-308, March.
    3. Smith, Martin D. & Sanchirico, James N. & Wilen, James E., 2009. "The economics of spatial-dynamic processes: Applications to renewable resources," Journal of Environmental Economics and Management, Elsevier, vol. 57(1), pages 104-121, January.
    4. Enrico Ciavolino & Antonio Calcagnì, 2014. "A generalized maximum entropy (GME) approach for crisp-input/fuzzy-output regression model," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(6), pages 3401-3414, November.
    5. Zheng, Yu & Alexandre, Gohin, 2018. "Agricultural productivity and price volatility in France: a dynamic stochastic partial equilibrium approach," 2018 Annual Meeting, August 5-7, Washington, D.C. 274354, Agricultural and Applied Economics Association.
    6. Yves Léony & Ludo Peeters & Maurice Quinqu & Yves Surry, 1999. "The Use of Maximum Entropy to Estimate Input-Output Coefficients From Regional Farm Accounting Data," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(3), pages 425-439.
    7. Arndt, Channing, 1999. "Demand For Herbicide In Corn: An Entropy Approach Using Micro-Level Data," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 0(Number 1), pages 1-18, July.
    8. Chen, Ming & Karp, Larry S., 2001. "Environmental Indices for the Chinese Grain Sector," CUDARE Working Papers 6259, University of California, Berkeley, Department of Agricultural and Resource Economics.
    9. Springborn, Michael & Sanchirico, James N., 2013. "A density projection approach for non-trivial information dynamics: Adaptive management of stochastic natural resources," Journal of Environmental Economics and Management, Elsevier, vol. 66(3), pages 609-624.
    10. Jill J. McCluskey & Gordon C. Rausser, 2001. "Estimation of Perceived Risk and Its Effect on Property Values," Land Economics, University of Wisconsin Press, vol. 77(1), pages 42-55.
    11. Baerenklau, Kenneth A., 2005. "Some Simulation Results for a Green Insurance Mechanism," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 0(Number 1), pages 1-15, April.
    12. Kaplan, Jonathan D. & Howitt, Richard E. & Farzin, Y. Hossein, 2003. "An information-theoretical analysis of budget-constrained nonpoint source pollution control," Journal of Environmental Economics and Management, Elsevier, vol. 46(1), pages 106-130, July.
    13. Amjad D. Al-Nasser, 2005. "Customer Satisfaction Measurement Models: Generalised Maximum Entropy Approach," Econometrics 0503013, University Library of Munich, Germany.
    14. Baerenklau, Kenneth A., 2004. "Simulating the Effects of a Green Payment Program on the Diffusion Rate of a Conservation Technology," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 0(Number 1), pages 1-17, April.
    15. Zheng, Y. & Gohin, A., 2018. "Estimating dynamic stochastic decision models: explore the generalized maximum entropy alternative," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 276001, International Association of Agricultural Economists.

    More about this item

    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:eee:dyncon:v:20:y:1996:i:4:p:559-582. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/jedc .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.