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A Nonparametric Analysis of Productivity: The Case of U.S. Agriculture

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  • Cox, Thomas L
  • Chavas, Jean-Paul

Abstract

A nonparametric analysis of technical change under profit maximization and a "generalized augmentation" hypothesis is proposed. It allows for Hicks neutral as well as biased technical change. An empirical application to U.S. agriculture is presented in the context of input-output translating (additive augmentation). The analysis generates nonparametric estimates of productivity that are obtained under less restrictive assumptions than other commonly used productivity measures. The empirical results illustrate the usefulness of the approach. Copyright 1990 by Oxford University Press.

Suggested Citation

  • Cox, Thomas L & Chavas, Jean-Paul, 1990. "A Nonparametric Analysis of Productivity: The Case of U.S. Agriculture," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 17(4), pages 449-464.
  • Handle: RePEc:oup:erevae:v:17:y:1990:i:4:p:449-64
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    Citations

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    Cited by:

    1. Fulginiti, Lilyan E., 2001. "Griliches' K-Shift And Competitiveness: Commodity Progress In Us Agriculture," 2001 Annual meeting, August 5-8, Chicago, IL 20700, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Just, Richard E., 2003. "Risk research in agricultural economics: opportunities and challenges for the next twenty-five years," Agricultural Systems, Elsevier, vol. 75(2-3), pages 123-159.
    3. Laurens CHERCHYE & Timo KUOSMANEN & Thierry POST, 2001. "Non-Parametric Production Analysis under Alternative Price Conditions," Working Papers Department of Economics ces0105, KU Leuven, Faculty of Economics and Business, Department of Economics.
    4. C. Lovell & Shawna Grosskopf & Eduardo Ley & Jesús Pastor & Diego Prior & Philippe Eeckaut, 1994. "Linear programming approaches to the measurement and analysis of productive efficiency," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 2(2), pages 175-248, December.
    5. Mullen, John D. & Cox, Thomas L., 1996. "Measuring Productivity Growth In Australian Broadacre Agriculture," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 40(03), December.
    6. Jean-Paul Chavas & Thomas L. Cox, 1997. "Production Analysis: A Non-Parametric Time Series Application To Us Agriculture," Journal of Agricultural Economics, Wiley Blackwell, vol. 48(1-3), pages 330-348.
    7. Just, Richard E., 2000. "Some Guiding Principles For Empirical Production Research In Agriculture," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 29(2), October.
    8. Peter Bogetoft & Jens Hougaard, 2003. "Rational Inefficiencies," Journal of Productivity Analysis, Springer, vol. 20(3), pages 243-271, November.
    9. Giannis Karagiannis & George Mergos, 2000. "Total Factor Productivity Growth and Technical Change in a Profit Function Framework," Journal of Productivity Analysis, Springer, vol. 14(1), pages 31-51, July.
    10. Ussif, Al-Amin M. & Lambert, David K., 1998. "Testing For Noncompetitive Behavior In The U.S. Food Industry," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20978, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Chalfant, James A. & Eshel, Dafna M. Disegni, 2001. "A Nonparametric Test Of Advertising'S Effectiveness," 2001 Annual meeting, August 5-8, Chicago, IL 20529, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    12. Kellie Curry Raper & Corinna Noelke, 2004. "Determining market power exertion between buyers and sellers: are nonparametrics a viable alternative?," Applied Economics, Taylor & Francis Journals, vol. 36(20), pages 2265-2274.
    13. Temel, Tugrul, 2011. "New facts for old debates: Farm size and productivity in US agriculture," MPRA Paper 31920, University Library of Munich, Germany.
    14. Jean-Paul Chavas & Thomas L. Cox, 1994. "A Primal-Dual Approach to Nonparametric Productivity Analysis: the Case of U.S. Agriculture," Wisconsin-Madison Agricultural and Applied Economics Staff Papers 372, Wisconsin-Madison Agricultural and Applied Economics Department.
    15. David Lambert, 1998. "Productivity Measurement from a Reference Technology: A Distance Function Approach," Journal of Productivity Analysis, Springer, vol. 10(3), pages 289-304, November.
    16. Fare, Rolf & Grosskopf, Shawna, 1995. "Nonparametric tests of regularity, Farrell efficiency, and goodness-of-fit," Journal of Econometrics, Elsevier, vol. 69(2), pages 415-425, October.

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