IDEAS home Printed from https://ideas.repec.org/a/oup/ajagec/v95y2013i3p669-684.html
   My bibliography  Save this article

Robust Error Specification in a Production System

Author

Listed:
  • Rulon D. Pope
  • Jeffrey T. LaFrance

Abstract

Economists estimating demand and supply systems face the question of using shares or quantities as dependent variables. This article finds that inconsistent estimates are obtained if one makes the wrong choice. A robust structure is presented to let the data choose the preferred form. Empirical applications to U.S. and Texas agriculture using the generalized method of moments suggest that shares and quantities are rejected in favor of a more general functional form. The Texas application provides some evidence for fixed capital but not for labor. Copyright 2013, Oxford University Press.

Suggested Citation

  • Rulon D. Pope & Jeffrey T. LaFrance, 2013. "Robust Error Specification in a Production System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(3), pages 669-684.
    • Handle: RePEc:oup:ajagec:v:95:y:2013:i:3:p:669-684
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ajae/aas136
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Jarvis, Lovell S, 1974. "Cattle as Capital Goods and Ranchers as Portfolio Managers: An Application to the Argentine Cattle Sector," Journal of Political Economy, University of Chicago Press, vol. 82(3), pages 489-520, May/June.
    2. Bryan W. Brown & Mary Beth Walker, 1992. "Stochastic specification in random production models of cost minimizing firms," FRB Atlanta Working Paper 92-6, Federal Reserve Bank of Atlanta.
    3. Gary D. Thompson & Mark Langworthy, 1989. "Profit Function Approximations and Duality Applications to Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(3), pages 791-798.
    4. Brown, Bryan W. & Walker, Mary Beth, 1995. "Stochastic specification in random production models of cost-minimizing firms," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 175-205.
    5. Fuss, Melvyn & McFadden, Daniel (ed.), 1978. "Production Economics: A Dual Approach to Theory and Applications," Elsevier Monographs, Elsevier, edition 1, number 9780444850133.
    6. David Aadland & DeeVon Bailey, 2001. "Short-Run Supply Responses in the U.S. Beef-Cattle Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(4), pages 826-839.
    7. Thompson, Gary D., 1988. "Choice Of Flexible Functional Forms: Review And Appraisal," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 13(2), pages 1-15, December.
    8. Arthur Lewbel, 1997. "Constructing Instruments for Regressions with Measurement Error when no Additional Data are Available, with an Application to Patents and R&D," Econometrica, Econometric Society, vol. 65(5), pages 1201-1214, September.
    9. Amemiya, Takeshi & Powell, James L., 1981. "A comparison of the Box-Cox maximum likelihood estimator and the non-linear two-stage least squares estimator," Journal of Econometrics, Elsevier, vol. 17(3), pages 351-381, December.
    10. Berndt, Ernst R & Khaled, Mohammed S, 1979. "Parametric Productivity Measurement and Choice among Flexible Functional Forms," Journal of Political Economy, University of Chicago Press, vol. 87(6), pages 1220-1245, December.
    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. Binlei Gong, 2020. "New Growth Accounting," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 641-661, March.
    2. Adélaïde Fadhuile & Stéphane Lemarié & Alain Pirotte, 2016. "Disaggregating the Demand for Pesticides: Does it Matter?," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(2), pages 223-252, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Konstantinos Giannakas & K. Tran & Vangelis Tzouvelekas, 1999. "On the Choice of Functional Form in Stochastic Frontiers Models: A Box-Cox Approach," Working Papers 9915, University of Crete, Department of Economics.
    2. Nguyen, Duong T.M. & McLaren, Keith Robert & Zhao, Xueyan, 2008. "Multi-Output Broadacre Agricultural Production: Estimating A Cost Function Using Quasi-Micro Farm Level Data From Australia," 2008 Conference (52nd), February 5-8, 2008, Canberra, Australia 6009, Australian Agricultural and Resource Economics Society.
    3. Bittencourt, Mauricio Vaz Lobo & Sampaio, Armando Vaz, 2011. "Are Dual and Primal Estimations Equivalent in the Presence of Stochastic Errors in Input Demand?," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 31(2), December.
    4. Aadland, David, 2004. "Cattle cycles, heterogeneous expectations and the age distribution of capital," Journal of Economic Dynamics and Control, Elsevier, vol. 28(10), pages 1977-2002, September.
    5. Lynn Hunnicutt & David Aadland, 2002. "Market Power with Dynamic Invertory Constraints: The Bias in Standard Measures," Working Papers 2002-15, Utah State University, Department of Economics.
    6. Hennessy, David A., 2006. "Feeding and the Equilibrium Feeder Animal Price-Weight Schedule," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 31(2), pages 1-23, August.
    7. Antle, John M., 1983. "The Structure Of U.S. Agricultural Technology, 1910-1978," Working Papers 225709, University of California, Davis, Department of Agricultural and Resource Economics.
    8. Thomas P. Triebs & David S. Saal & Pablo Arocena & Subal C. Kumbhakar, 2016. "Estimating economies of scale and scope with flexible technology," Journal of Productivity Analysis, Springer, vol. 45(2), pages 173-186, April.
    9. James Bessen, 2009. "More Machines, Better Machines...Or Better Workers?," Working Papers 0803, Research on Innovation.
    10. Zhao, Huan, 2011. "Four Market Studies for the Beef and Electric Power Industries," ISU General Staff Papers 201101010800001360, Iowa State University, Department of Economics.
    11. Silva, Bruno Kanieski & Cubbage, Frederick W. & Gonzalez, Ronalds & Abt, Robert C., 2019. "Assessing market power in the U.S. pulp and paper industry," Forest Policy and Economics, Elsevier, vol. 102(C), pages 138-150.
    12. Kesavan, Thulasiram, 1988. "Monte Carlo experiments of market demand theory," ISU General Staff Papers 198801010800009854, Iowa State University, Department of Economics.
    13. William A. Barnett & Ikuyasu Usui, 2007. "The Theoretical Regularity Properties of the Normalized Quadratic Consumer Demand Model," International Symposia in Economic Theory and Econometrics, in: Functional Structure Inference, pages 107-127, Emerald Group Publishing Limited.
    14. Simoneau, Marcel, 1982. "Vers une mesure de la progressivité technologique," L'Actualité Economique, Société Canadienne de Science Economique, vol. 58(3), pages 283-302, juillet-s.
    15. Aadland, David, 2002. "Cattle Cycles, Expectations And The Age Distribution Of Capital," 2002 Annual meeting, July 28-31, Long Beach, CA 19795, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    16. Hanweck, Gerald A. & Hogan, Arthur M. B., 1996. "The structure of the property/casualty insurance industry," Journal of Economics and Business, Elsevier, vol. 48(2), pages 141-155, May.
    17. Marc Gaudry & Emile Quinet, 2009. "Track wear-and-tear cost by traffic class: Functional form, zero output levels and marginal cost pricing recovery on the French rail network," Working Papers halshs-00574977, HAL.
    18. Hamermesh, Daniel S., 1987. "The demand for labor in the long run," Handbook of Labor Economics, in: O. Ashenfelter & R. Layard (ed.), Handbook of Labor Economics, edition 1, volume 1, chapter 8, pages 429-471, Elsevier.
    19. Richard Fabling & David C Maré, 2015. "Production function estimation using New Zealand’s Longitudinal Business Database," Working Papers 15_15, Motu Economic and Public Policy Research.
    20. Sayed H Saghaian & Gokhan Ozertan & Hasan Tekguc, 2013. "Beef and milk price links in Turkey," Economics Bulletin, AccessEcon, vol. 33(4), pages 2607-2616.

    More about this item

    JEL classification:

    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

    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:oup:ajagec:v:95:y:2013:i:3:p:669-684. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.