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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. 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.
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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. 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.
    5. 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(01), pages 1-17, April.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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(01), pages 1-18, July.
    17. Baerenklau, Kenneth A., 2005. "Some Simulation Results for a Green Insurance Mechanism," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 30(01), pages 1-15, April.
    18. 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).
    19. 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.
    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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