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Estimating input allocation from heterogeneous data sources: a comparison of alternative estimation approaches

Author

Listed:
  • Kamel Elouhichi Louhichi

    (ECO-PUB - Economie Publique - INRA - Institut National de la Recherche Agronomique - AgroParisTech)

  • Florence F. Jacquet

    (Alimentation et Sciences Sociales - INRA - Institut National de la Recherche Agronomique)

  • Jean-Pierre J.-P. Butault

    (LEF - Laboratoire d'Economie Forestière - INRA - Institut National de la Recherche Agronomique - AgroParisTech)

Abstract

Cet article propose l'utilisation de la méthode de l'Entropie Maximale Généralisée (GME) pour estimer la répartition des inputs (et des coûts de production) entre différents produits en utilisant des sources de données hétérogènes (données comptables agricoles et données de l'enquête pratiques culturales). L'objectif est d'explorer le rôle d'information préalable fiable (bien-définie) dans l'amélioration de la précision de l'estimation du GME. La performance de la méthode GME est comparée par la suite à une approche bayésienne -- Haute Densité Postérieure (HPD)-- afin d'évaluer leur performance lorsque d'information préalable fiable est utilisée et d'examiner leur utilité pour concilier des sources de données hétérogènes. Les deux approches sont appliquées à un réseau de données comptables agricoles qui contient des informations sur la répartition des inputs entre différents produits. Les résultats d'estimation montrent que l'utilisation d'information préalable fiable provenant de source externe à l'échantillon améliore les estimations GME même si cette performance n'est pas toujours significative. Il apparaît également que l'approche bayésienne (HPD) pourrait être une bonne alternative à l'estimateur GME. HPD fournit des résultats qui sont proches de la méthode GME avec l'avantage d'une mise en œuvre simple et transparente de l'information préalable.

Suggested Citation

  • Kamel Elouhichi Louhichi & Florence F. Jacquet & Jean-Pierre J.-P. Butault, 2012. "Estimating input allocation from heterogeneous data sources: a comparison of alternative estimation approaches," Post-Print hal-01000322, HAL.
    • Handle: RePEc:hal:journl:hal-01000322
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    1. Xiaobo Zhang & Shenggen Fan, 2001. "Estimating Crop-Specific Production Technologies in Chinese Agriculture: A Generalized Maximum Entropy Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(2), pages 378-388.
    2. Perloff,Jeffrey M. & Karp,Larry S. & Golan,Amos, 2007. "Estimating Market Power and Strategies," Cambridge Books, Cambridge University Press, number 9780521011143.
    3. 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, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 25(2), pages 188-209.
    4. Subhash C. Ray, 1985. "Methods of Estimating the Input Coefficients for Linear Programming Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 67(3), pages 660-665.
    5. Richard E. Just & David Zilberman & Eithan Hochman, 1983. "Estimation of Multicrop Production Functions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 65(4), pages 770-780.
    6. Heckelei, Thomas & Mittelhammer, Ronald C. & Jansson, Torbjorn, 2008. "A Bayesian Alternative To Generalized Cross Entropy Solutions For Underdetermined Econometric Models," Discussion Papers 56973, University of Bonn, Institute for Food and Resource Economics.
    7. Ludo Peeters & Yves Surry, 2000. "Incorporating price-induced innovation in a symmetric generalised McFadden cost function with several outputs," Post-Print hal-01593889, HAL.
    8. Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers Archive 1488, Iowa State University, Department of Economics.
    9. 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.
    10. Heckelei, Thomas & Britz, Wolfgang, 2000. "Positive Mathematical Programming with Multiple Data Points: A Cross-Sectional Estimation Procedure," Cahiers d'Economie et de Sociologie Rurales (CESR), Institut National de la Recherche Agronomique (INRA), vol. 57.
    11. Douglas J. Miller & Andrew J. Plantinga, 1999. "Modeling Land Use Decisions with Aggregate Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 180-194.
    12. Gocht, Alexander, 2008. "Estimating input allocation for farm supply models," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6469, European Association of Agricultural Economists.
    13. Richard E. Just & David Zilberman & Eithan Hochman & Ziv Bar-Shira, 1990. "Input Allocation in Multicrop Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(1), pages 200-209.
    14. Yves Léon & Ludo Peeters & Maurice Quinqu & Yves Surry, 1999. "The use of maximum entropy to estimate input-output coefficients from regional farm accounting data," Post-Print hal-01931589, HAL.
    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. Thomas Heckelei & Hendrik Wolff, 2003. "Estimation of constrained optimisation models for agricultural supply analysis based on generalised maximum entropy," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 30(1), pages 27-50, March.
    17. P. Midmore, 1990. "Estimating Input‐Output Coefficients From Regional Farm Data—A Comment," Journal of Agricultural Economics, Wiley Blackwell, vol. 41(1), pages 108-111, January.
    18. Anne‐Sophie Robilliard & Sherman Robinson, 2003. "Reconciling Household Surveys and National Accounts Data Using a Cross Entropy Estimation Method," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 49(3), pages 395-406, September.
    19. Ludo Peeters & Yves Surry, 2000. "Incorporating Price-Induced Innovation in a Symmetric Generalised McFadden Cost Function with Several Outputs," Journal of Productivity Analysis, Springer, vol. 14(1), pages 53-70, July.
    20. C. Richard Shumway & Rulon D. Pope & Elizabeth K. Nash, 1984. "Allocatable Fixed Inputs and Jointness in Agricultural Production: Implications for Economic Modeling," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(1), pages 72-78.
    21. A. Moxey & R. Tiffin, 1994. "Estimating Linear Production Coefficients From Farm Business Survey Data: A Note," Journal of Agricultural Economics, Wiley Blackwell, vol. 45(3), pages 381-385, September.
    22. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    23. Paris, Quirino & Caputo, Michael R., 2001. "Sensitivity Of The Gme Estimates To Support Bounds," Working Papers 11966, University of California, Davis, Department of Agricultural and Resource Economics.
    24. Miller, Douglas & Plantinga, Andrew J., 1999. "Modeling Land Use Decisions with Aggregate Data," Staff General Research Papers Archive 1487, Iowa State University, Department of Economics.
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    Cited by:

    1. António Xavier & Maria Belem Freitas & Maria do Socorro Rosário & Rui Fragoso, 2016. "Disaggregating Statistical Data at Field Level: An Entropy Approach," CEFAGE-UE Working Papers 2016_06, University of Evora, CEFAGE-UE (Portugal).
    2. Pierre-Alain Jayet & Athanasios Petsakos & Raja Chakir & Anna Lungarska & Stéphane De Cara & Elvire Petel & Pierre Humblot & Caroline Godard & David Leclère & Pierre Cantelaube & Cyril Bourgeois & Mél, 2023. "The European agro-economic model AROPAj," Working Papers hal-04109872, HAL.
    3. Rick Cox & Shalika Walker & Joep van der Velden & Phuong Nguyen & Wim Zeiler, 2020. "Flattening the Electricity Demand Profile of Office Buildings for Future-Proof Smart Grids," Energies, MDPI, vol. 13(9), pages 1-27, May.
    4. António Xavier & Rui Fragoso & Maria De Belém Costa Freitas & Maria Do Socorro Rosário & Florentino Valente, 2018. "A Minimum Cross-Entropy Approach to Disaggregate Agricultural Data at the Field Level," Land, MDPI, vol. 7(2), pages 1-16, May.

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