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Dynamic Positive Equilibrium Problem

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  • Paris, Quirino
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    Abstract

    The Dynamic Positive Equilibrium Problem (DPEP) is a methodology for dealing with time series about economic agents’ decisions, regardless of the amount of available information. The approach is articulated in three phases, as in the static counterpart Symmetric Positive Equilibrium Problem (SPEP), with the variant that it must be preceded by the estimation of the equation of motion which characterizes a dynamic model. Furthermore, the definition of marginal cost in the DPEP model is different from the same notion in the static SPEP. In this paper, the DPEP approach was applied to a panel data dealing with annual crops from California agriculture for a horizon of eight years. The dynamic character of the DPEP model is based upon then assumption of output price adaptive expectations that follows a Nerlove-type specification.

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    File URL: http://purl.umn.edu/11956
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    Bibliographic Info

    Paper provided by University of California, Davis, Department of Agricultural and Resource Economics in its series Working Papers with number 11956.

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    Date of creation: 2001
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    Handle: RePEc:ags:ucdavw:11956

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    Keywords: Research Methods/ Statistical Methods;

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    1. Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers 1488, Iowa State University, Department of Economics.
    2. Quirino Paris, 2001. "Symmetric Positive Equilibrium Problem: A Framework for Rationalizing Economic Behavior with Limited Information," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(4), pages 1049-1061.
    3. Caputo, Michael R. & Paris, Quirino, 2008. "Comparative statics of the generalized maximum entropy estimator of the general linear model," European Journal of Operational Research, Elsevier, vol. 185(1), pages 195-203, February.
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