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A Methodological Note on the Estimation of Programming Models

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Author Info
Heckelei, Thomas
Wolff, Hendrik

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Abstract

The paper introduces a general methodological approach for the estimation of constrained optimisation models in agricultural supply analysis. It is based on optimality conditions of the desired programming model and shows a conceptual advantage compared to Positive Mathematical Programming in the context of well posed estimation problems. Moreover, it closes the empirical and methodological gap between programming models and duality based functional models with explicit allocation of fixed factors. Monte Carlo simulations are performed with a maximum entropy estimator to evaluate the functionality of the approach as well as the impact of empirically relevant prior information in small sample situations.

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Publisher Info
Paper provided by European Association of Agricultural Economists in its series 2002 International Congress, August 28-31, 2002, Zaragoza, Spain with number 24896.

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Date of creation: 2002
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Handle: RePEc:ags:eaae02:24896

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Related research
Keywords: Agricultural Supply Analysis; Programming Models; Maximum Entropy Estimation; Prior Information; Research Methods/ Statistical Methods;

References listed on IDEAS
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  1. Chirinko, Robert S, 1993. "Business Fixed Investment Spending: Modeling Strategies, Empirical Results, and Policy Implications," Journal of Economic Literature, American Economic Association, vol. 31(4), pages 1875-1911, December. [Downloadable!] (restricted)
  2. 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, Blackwell Publishing, vol. 50(3), pages 425-439. [Downloadable!] (restricted)
  3. Richard E. Howitt, 1995. "A Calibration Method For Agricultural Economic Production Models," Journal of Agricultural Economics, Blackwell Publishing, vol. 46(2), pages 147-159. [Downloadable!] (restricted)
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This page was last updated on 2009-11-11.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.