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

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

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  • 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
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    1. 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.
    2. 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.
    3. 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.
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    Cited by:

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    2. 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.
    3. 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.
    4. 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. 33(1), pages 1-17, April.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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, September.
    10. 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. 24(1), pages 1-18, July.
    11. Baerenklau, Kenneth A., 2005. "Some Simulation Results for a Green Insurance Mechanism," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 30(1), pages 1-15, April.
    12. 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.
    13. Lisa Baldi & Arfini, Filippo & Calzolai, Sara & Donati, Michele, 2023. "CAP reform and GHG emissions: policy assessment using a PMP agent-based model," 97th Annual Conference, March 27-29, 2023, Warwick University, Coventry, UK 334520, Agricultural Economics Society - AES.
    14. 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.
    15. Samira Shayanmehr & Jana Ivanič Porhajašová & Mária Babošová & Mahmood Sabouhi Sabouni & Hosein Mohammadi & Shida Rastegari Henneberry & Naser Shahnoushi Foroushani, 2022. "The Impacts of Climate Change on Water Resources and Crop Production in an Arid Region," Agriculture, MDPI, vol. 12(7), pages 1-22, July.
    16. 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.
    17. Luca Zanin, 2021. "On the estimation of Okun’s coefficient in some countries in Latin America: a comparison between OLS and GME estimators," Empirical Economics, Springer, vol. 60(3), pages 1575-1592, March.
    18. E. Ciavolino & A. Calcagnì, 2015. "Generalized cross entropy method for analysing the SERVQUAL model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(3), pages 520-534, March.
    19. Liu, Weiping & Radmehr, Riza & Zhang, Shichao & Rastegari Henneberry, Shida & Wei, Chaofu, 2020. "Driving mechanism of concentrated rural resettlement in upland areas of Sichuan Basin: A perspective of marketing hierarchy transformation," Land Use Policy, Elsevier, vol. 99(C).
    20. Amjad D. Al-Nasser, 2005. "Customer Satisfaction Measurement Models: Generalised Maximum Entropy Approach," Econometrics 0503013, University Library of Munich, Germany.

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