IDEAS home Printed from https://ideas.repec.org/p/cdl/agrebk/qt0b81x36x.html
   My bibliography  Save this paper

A strong test of the von Liebig hypothesis

Author

Listed:
  • Berck, Peter
  • Geoghegan, Jacqueline
  • Stohs, Stephen

Abstract

An implication of the von Liebig hypothesis is that crop-production functions have right-angle isoquants. This article presents a nonparametric estimation of right-angle isoquant production functions. It then describes a new test for right-angle isoquants. The procedures are used to test experimental data on corn and wheat. Copyright 2000, Oxford University Press.
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Berck, Peter & Geoghegan, Jacqueline & Stohs, Stephen, 1998. "A strong test of the von Liebig hypothesis," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt0b81x36x, Department of Agricultural & Resource Economics, UC Berkeley.
  • Handle: RePEc:cdl:agrebk:qt0b81x36x
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/0b81x36x.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Quirino Paris, 1992. "The von Liebig Hypothesis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(4), pages 1019-1028.
    2. Peter Berck & Gloria Helfand, 1990. "Reconciling the von Liebig and Differentiable Crop Production Functions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(4), pages 985-996.
    3. Robert G. Chambers & Erik Lichtenberg, 1996. "A Nonparametric Approach to the von Liebig-Paris Technology," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 373-386.
    4. Richard K. Perrin, 1976. "The Value of Information and the Value of Theoretical Models in Crop Response Research," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 58(1), pages 54-61.
    5. Wang, Jun & Lowenberg-DeBoer, J., 1988. "Estimating and Testing Linear Response and Plateau Functions for Crops in Rotation when Carryover Exists," 1988 Annual Meeting, August 1-3, Knoxville, Tennessee 270451, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Llewelyn, Richard V. & Featherstone, Allen M., 1997. "A comparison of crop production functions using simulated data for irrigated corn in western Kansas," Agricultural Systems, Elsevier, vol. 54(4), pages 521-538, August.
    7. Varian, Hal R., 1985. "Non-parametric analysis of optimizing behavior with measurement error," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 445-458.
    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. Schwabe, Kurt A. & Knapp, Keith C., 2005. "Nitrogen as a Capital Input and Stock Pollutant: A Dynamic Analysis of Corn Production and Nitrogen Leaching under Non-Uniform Irrigation," 2005 Annual meeting, July 24-27, Providence, RI 19466, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Livanis, Grigorios T. & Salois, Matthew J. & Moss, Charles B., 2009. "A Nonparametric Kernel Representation of the Agricultural Production Function: Implications for Economic Measures of Technology," 83rd Annual Conference, March 30 - April 1, 2009, Dublin, Ireland 51063, Agricultural Economics Society.

    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. Tembo, Gelson & Brorsen, B. Wade & Epplin, Francis M., 2003. "Linear Response Stochastic Plateau Functions," 2003 Annual Meeting, February 1-5, 2003, Mobile, Alabama 35217, Southern Agricultural Economics Association.
    2. Xu, Zhiying & Jayne, Thomas S. & Black, J. Roy & Govereh, Jones, 2005. "Profitability Of Fertilizer Use On Maize By Small-Scale Farming Households In Zambia," 2005 Annual meeting, July 24-27, Providence, RI 19141, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Finger, Robert & Hediger, Werner, 2007. "The Application of Robust Regression to a Production Function Comparison – the Example of Swiss Corn," MPRA Paper 4740, University Library of Munich, Germany.
    4. Roberts, David C. & Brorsen, B. Wade & Solie, John B. & Raun, William R., 2011. "The effect of parameter uncertainty on whole-field nitrogen recommendations from nitrogen-rich strips and ramped strips in winter wheat," Agricultural Systems, Elsevier, vol. 104(4), pages 307-314, April.
    5. Klaus Moeltner & A. Ford Ramsey & Clinton L. Neill, 2021. "Bayesian Kinked Regression with Unobserved Thresholds: An Application to the von Liebig Hypothesis," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1832-1856, October.
    6. Guillermo Flichman & Florence Jacquet, 2003. "Le couplage des modèles agronomiques et économiques : intérêt pour l'analyse des politiques," Cahiers d'Economie et Sociologie Rurales, INRA Department of Economics, vol. 67, pages 51-69.
    7. Takeshima, Hiroyuki & Kishore, Avinash & Kumar, Anjani, 2024. "Climate shocks and fertilizer responses: Field-level evidence for rice production in Bangladesh," IAAE 2024 Conference, August 2-7, 2024, New Delhi, India 344280, International Association of Agricultural Economists (IAAE).
    8. Livanis, Grigorios T. & Salois, Matthew J. & Moss, Charles B., 2009. "A Nonparametric Kernel Representation of the Agricultural Production Function: Implications for Economic Measures of Technology," 83rd Annual Conference, March 30 - April 1, 2009, Dublin, Ireland 51063, Agricultural Economics Society.
    9. Biermacher, Jon T. & Epplin, Francis M. & Brorsen, B. Wade & Solie, John B. & Raun, Bill, 2006. "Precision Nitrogen Fertilization Technology with Micro Grids," 2006 Annual meeting, July 23-26, Long Beach, CA 21046, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Kaitibie, Simeon & Nganje, William E. & Brorsen, B. Wade & Epplin, Francis M., 2003. "Optimal Grazing Pressure Under Output Price And Production Uncertainty With Alternative Functional Forms," 2003 Annual meeting, July 27-30, Montreal, Canada 22020, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Kampas, Athanasios & Petsakos, Athanasios & Rozakis, Stelios, 2012. "Price induced irrigation water saving: Unraveling conflicts and synergies between European agricultural and water policies for a Greek Water District," Agricultural Systems, Elsevier, vol. 113(C), pages 28-38.
    12. Paulson, Nicholas D. & Babcock, Bruce A., 2010. "Readdressing the Fertilizer Problem," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 35(3), pages 1-17, December.
    13. David A. Hennessy, 2009. "Crop Yield Skewness Under Law of the Minimum Technology," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(1), pages 197-208.
    14. Rodriguez, Divina Gracia P. & Bullock, David S., 2015. "Testing the Validity of Stanford's 1.2 Rule for N Fertilizer Recommendation," 2015 Conference, August 9-14, 2015, Milan, Italy 212289, International Association of Agricultural Economists.
    15. Frederic Ouedraogo & B. Wade Brorsen, 2018. "Hierarchical Bayesian Estimation of a Stochastic Plateau Response Function: Determining Optimal Levels of Nitrogen Fertilization," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 66(1), pages 87-102, March.
    16. de Koeijer, T. J. & Wossink, G. A. A. & van Ittersum, M. K. & Struik, P. C. & Renkema, J. A., 1999. "A conceptual model for analysing input-output coefficients in arable farming systems: from diagnosis towards design," Agricultural Systems, Elsevier, vol. 61(1), pages 33-44, July.
    17. Robert G. Chambers & Atakelty Hailu & John Quiggin, 2011. "Event‐specific data envelopment models and efficiency analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(1), pages 90-106, January.
    18. Harmon, Xavier & Boyer, Christopher N. & Lambert, Dayton M. & Larson, James A. & Gwathmey, C. Owen, 2016. "Comparing the Value of Soil Test Information Using Deterministic and Stochastic Yield Response Plateau Functions," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(2), May.
    19. Uddameri, Venkatesh & Ghaseminejad, Ali & Hernandez, E. Annette, 2020. "A tiered stochastic framework for assessing crop yield loss risks due to water scarcity under different uncertainty levels," Agricultural Water Management, Elsevier, vol. 238(C).
    20. Christiaans, Thomas & Eichner, Thomas & Pethig, Rudiger, 2007. "Optimal pest control in agriculture," Journal of Economic Dynamics and Control, Elsevier, vol. 31(12), pages 3965-3985, December.

    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:cdl:agrebk:qt0b81x36x. 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: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/dabrkus.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.