IDEAS home Printed from https://ideas.repec.org/p/rae/wpaper/200917.html
   My bibliography  Save this paper

Modeling acreage decisions within the multinomial Logit framework

Author

Listed:
  • Alain Carpentier
  • Elodie Letort

Abstract

The Multinomial Logit (MNL) framework has been used in the agricultural production economics literature to model acreage share choices, crop decisions or land use decisions. This article extends the pioneering works of Caswell and Zilberman (1985) and of Wu and Segerson (1995) by developing further the theoretical background of the MNL acreage share models. Two approaches are considered: the “cost function approach” and the “discrete choice approach”. It is then shown that MNL acreage share models can be used to define simple multi-crop econometric models with land as an allocatable fixed input. Finally several generalizations of the standard MNL acreage share model are proposed.

Suggested Citation

  • Alain Carpentier & Elodie Letort, 2009. "Modeling acreage decisions within the multinomial Logit framework," Working Papers SMART - LERECO 09-17, INRA UMR SMART-LERECO.
  • Handle: RePEc:rae:wpaper:200917
    as

    Download full text from publisher

    File URL: http://ageconsearch.umn.edu/bitstream/211011/2/WP%20SMART-LERECO%2009-17.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Rust, John, 1987. "Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher," Econometrica, Econometric Society, vol. 55(5), pages 999-1033, September.
    2. Asunka, Samuel & Shumway, C. Richard, 1996. "Allocatable Fixed Inputs And Jointness In Agricultural Production: More Implications," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 0(Number 2), pages 1-6, October.
    3. 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.
    4. Ottmar Röhm & Stephan Dabbert, 2003. "Integrating Agri-Environmental Programs into Regional Production Models: An Extension of Positive Mathematical Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 254-265.
    5. Ackerberg, Daniel & Lanier Benkard, C. & Berry, Steven & Pakes, Ariel, 2007. "Econometric Tools for Analyzing Market Outcomes," Handbook of Econometrics,in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 63 Elsevier.
    6. Steven T. Berry, 1994. "Estimating Discrete-Choice Models of Product Differentiation," RAND Journal of Economics, The RAND Corporation, vol. 25(2), pages 242-262, Summer.
    7. 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.
    8. Just, Richard E. & Pope, Rulon D., 2001. "The agricultural producer: Theory and statistical measurement," Handbook of Agricultural Economics,in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 1, chapter 12, pages 629-741 Elsevier.
    9. Alfons Oude Lansink & Spiro Stefanou, 2001. "Dynamic Area Allocation and Economies of Scale and Scope," Journal of Agricultural Economics, Wiley Blackwell, vol. 52(3), pages 38-52.
    10. Lubowski, Ruben N. & Plantinga, Andrew J. & Stavins, Robert N., 2006. "Land-use change and carbon sinks: Econometric estimation of the carbon sequestration supply function," Journal of Environmental Economics and Management, Elsevier, vol. 51(2), pages 135-152, March.
    11. Treadway, Arthur B, 1971. "The Rational Multivariate Flexible Accelerator," Econometrica, Econometric Society, vol. 39(5), pages 845-855, September.
    12. Moore, Michael R. & Negri, Donald H., 1992. "A Multicrop Production Model Of Irrigated Agriculture, Applied To Water Allocation Policy Of The Bureau Of Reclamation," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 0(Number 1), pages 1-15, July.
    13. Theil, Henri, 1969. "A Multinomial Extension of the Linear Logit Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 10(3), pages 251-259, October.
    14. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    15. Alban Thomas, 2003. "A dynamic model of on-farm integrated nitrogen management," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 30(4), pages 439-460, December.
    16. Asunka, Samuel & Shumway, C. Richard, 1996. "Allocatable Fixed Inputs and Jointness in Agricultural Production: More Implications," Agricultural and Resource Economics Review, Cambridge University Press, vol. 25(02), pages 143-148, October.
    17. Verboven, Frank, 1996. "The nested logit model and representative consumer theory," Economics Letters, Elsevier, vol. 50(1), pages 57-63, January.
    18. Livingston, Michael J. & Roberts, Michael J. & Rust, John, 2008. "Optimal Corn and Soybean Rotations," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6213, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    19. Rulon D. Pope & Richard E. Just, 2003. "Distinguishing Errors in Measurement from Errors in Optimization," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(2), pages 348-358.
    20. Considine, Timothy J & Mount, Timothy D, 1984. "The Use of Linear Logit Models for Dynamic Input Demand Systems," The Review of Economics and Statistics, MIT Press, vol. 66(3), pages 434-443, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Haile, Mekbib G. & Kalkuhl, Matthias & von Braun, Joachim, 2013. "Short-term global crop acreage response to international food prices and implications of volatility," Discussion Papers 145308, University of Bonn, Center for Development Research (ZEF).
    2. Jonathan Kaminski & Iddo Kan & Aliza Fleischer, 2013. "A Structural Land-Use Analysis of Agricultural Adaptation to Climate Change: A Proactive Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(1), pages 70-93.
    3. Haile, Mekbib G. & Kalkuhl, Matthias & Braun, Joachim von, 2013. "Inter-and intra-annual global crop acreage response to prices and price risk," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149695, Agricultural and Applied Economics Association.
    4. Kan, Iddo & Kimhi, Ayal & Kaminski, Jonathan, 2014. "The impact of climate change on agriculture and food prices: combining a micro land use model and a market equilibrium model," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 183024, European Association of Agricultural Economists.
    5. Carroll, Christine & Carter, Colin A. & Goodhue, Rachael E. & Lin, C.-Y. Cynthia & Subbarao, Krishna, 2013. "Bioeconomic Modeling of an Imported Disease in California Lettuce," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150495, Agricultural and Applied Economics Association.
    6. Mekbib G. Haile & Matthias Kalkuhl & Joachim Braun, 2014. "Inter- and intra-seasonal crop acreage response to international food prices and implications of volatility," Agricultural Economics, International Association of Agricultural Economists, vol. 45(6), pages 693-710, November.
    7. Jaeck, Melanie & Lifran, Robert, 2011. "The Economic Determinants of the On-farm Management of Rice Cultivars in the Rhone River Delta (France)," 2011 Conference, August 25-26, 2011, Nelson, New Zealand 115508, New Zealand Agricultural and Resource Economics Society.
    8. Haile, Mekbib G. & Kalkuhl, Matthias & Braun, Joachim von, 2013. "How does food supply respond to high and volatile international food prices? An empirical evaluation of inter- and intra- seasonal global crop acreage response," 2013 AAAE Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 161472, African Association of Agricultural Economists (AAAE).

    More about this item

    Keywords

    acreage share; discrete choice; multicrop econometric model; multinomial Logit;

    JEL classification:

    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rae:wpaper:200917. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christine Mesquida). General contact details of provider: http://edirc.repec.org/data/inrarfr.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.