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Innovation in Estimation of Revenue and Cost Functions in PMP Using FADN Information at Regional Level

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  • Arfini, Filippo
  • Donati, Michele
  • Paris, Quirino

Abstract

The objective of this paper is to present an evolution of PMP model suitable to estimate the revenue function and to provide price elasticity due to the variation of subsidies at farm level, especially if they are decoupled. This problem arises when individual data of farm households in a given region, coming from FADN, are used for implement PMP models finalized to policy analysis. This paper presents the theoretical background of the proposed innovations and empirical evidence on the basis of a sample of farms included in FADN database in Italy.

Suggested Citation

  • Arfini, Filippo & Donati, Michele & Paris, Quirino, 2008. "Innovation in Estimation of Revenue and Cost Functions in PMP Using FADN Information at Regional Level," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44008, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaae08:44008
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    File URL: http://purl.umn.edu/44008
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    References listed on IDEAS

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    1. Lence, Sergio H & Miller, Douglas J, 1998. "Estimation of Multi-output Production Functions with Incomplete Data: A Generalised Maximum Entropy Approach," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 25(2), pages 188-209.
    2. Thomas Heckelei & Hendrik Wolff, 2003. "Estimation of constrained optimisation models for agricultural supply analysis based on generalised maximum entropy," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 30(1), pages 27-50, March.
    3. Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers Archive 1488, Iowa State University, Department of Economics.
    4. 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.
    5. Alexandre Gohin & Frédéric Chantreuil, 1999. "La programmation mathématique positive dans les modèles d'exploitation agricole : Principes et importance du calibrage," Cahiers d'Economie et Sociologie Rurales, INRA Department of Economics, vol. 52, pages 59-78.
    6. Quirino Paris & Richard E. Howitt, 1998. "An Analysis of Ill-Posed Production Problems Using Maximum Entropy," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 124-138.
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    Cited by:

    1. Zhou, Wei & Babcock, Bruce A., 2014. "Endogenous Price in a Dynamic Model for Agricultural Supply Analysis," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170584, Agricultural and Applied Economics Association.
    2. Zhou, Wei, 2015. "Three essays on modeling biofuel feedstock supply," ISU General Staff Papers 201501010800005728, Iowa State University, Department of Economics.
    3. Fragoso, R. & Marques, C. & Lucas, M.R. & Martins, M.B. & Jorge, R., 2011. "The economic effects of common agricultural policy on Mediterranean montado/dehesa ecosystem," Journal of Policy Modeling, Elsevier, vol. 33(2), pages 311-327, March.

    More about this item

    Keywords

    Positive mathematical programming; Demand function; Agricultural policies evaluation; Agricultural and Food Policy; Demand and Price Analysis;

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