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Technical Change and Model Specification: U.S. Agricultural Production

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  • Hongil Lim
  • C. Richard Shumway

Abstract

U.S. agricultural crop and livestock relationships are examined in the context of both duality and time-series econometrics. Based on time-series test results, cointegrated models are estimated. Traditional models generally overestimated the precision of statistical relationships and gave a considerable number of spurious results, particularly with regard to technical change. When time-series properties of the data were addressed, there was much less evidence of bias in technical change. Model specification test results were sensitive both to the time-series specification of the maintained model and its functional form. Preferred functional form depended on the choice criterion. Copyright 1997, Oxford University Press.

Suggested Citation

  • Hongil Lim & C. Richard Shumway, 1997. "Technical Change and Model Specification: U.S. Agricultural Production," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(2), pages 543-554.
    • Handle: RePEc:oup:ajagec:v:79:y:1997:i:2:p:543-554
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    Cited by:

    1. Shumway, C. Richard & Davis, George C., 2001. "Does consistent aggregation really matter?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 45(2), pages 1-34.
    2. Morrison Paul, Catherine J., 1999. "Production Structure And Trends In The U.S. Meat And Poultry Products Industries," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 24(2), pages 1-18, December.
    3. Yang, Sansi & Shumway, C. Richard, 2014. "Dynamic Adjustment in U.S. Agriculture under Climate Uncertainty," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170609, Agricultural and Applied Economics Association.
    4. 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(2), pages 143-148, October.
    5. Robert K. Kaufmann, 2004. "The Mechanisms for Autonomous Energy Efficiency Increases: A Cointegration Analysis of the US Energy/GDP Ratio," The Energy Journal, , vol. 25(1), pages 63-86, January.
    6. Stern, David I., 2008. "Derivation of the Hicks Elasticity of Substitution from the Input Distance Function," MPRA Paper 12414, University Library of Munich, Germany.
    7. Stern, David I., 2010. "Derivation of the Hicks, or direct, elasticity of substitution using the input distance function," Economics Letters, Elsevier, vol. 108(3), pages 349-351, September.
    8. 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.
    9. 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).
    10. Silva, Felipe & Fulginiti, Lilyan E. & Perrin, Richard K., 2016. "Did technical change in agricultural production decrease the emission of pollutants on the Amazon Forest during 1990-2009?," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230092, Southern Agricultural Economics Association.
    11. Khiabani, Nasser & Hasani, Karim, 2010. "Technical and allocative inefficiencies and factor elasticities of substitution: An analysis of energy waste in Iran's manufacturing," Energy Economics, Elsevier, vol. 32(5), pages 1182-1190, September.
    12. Moss, Charles B. & Erickson, Kenneth W. & Ball, V. Eldon & Mishra, Ashok K., 2003. "A Translog Cost Function Analysis Of U.S. Agriculture: A Dynamic Specification," 2003 Annual meeting, July 27-30, Montreal, Canada 22027, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    13. Shumway, C. Richard & Liu, Yucan, 2006. "Induced Innovation in the Agricultural Sector: Evidence From a State Panel," 2006 Annual meeting, July 23-26, Long Beach, CA 21089, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Sansi Yang & C. Richard Shumway, 2020. "Knowledge accumulation in US agriculture: research and learning by doing," Journal of Productivity Analysis, Springer, vol. 54(2), pages 87-105, December.

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