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A Translog Cost Function Analysis Of U.S. Agriculture: A Dynamic Specification

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  • Moss, Charles B.
  • Erickson, Kenneth W.
  • Ball, V. Eldon
  • Mishra, Ashok K.

Abstract

This study has used an empirical approach developed by Urga and Walters (2003) to examine the implications of the short-run specification of the standard translog cost specification along with the possible implications of non-stationarity. We have estimated a dynamic translog cost specification complete with dynamic share equations for U.S. agriculture and compared it to the static, long-run specification. We found that the dynamic translog specification yielded more significant parameter estimates, and yielded results that are consistent with economic theory. In particular, the coefficient m (the adjustment cost parameter) determines the overall autoregressive structure of the model. The fact that its estimated value (0.36) is statistically different from zero at any conventional level of confidence indicates that the dynamic structure of the model is important. This finding illustrates the superiority of the short-run, dynamic specification over the static, long-run model.

Suggested Citation

  • 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).
    • Handle: RePEc:ags:aaea03:22027
    DOI: 10.22004/ag.econ.22027
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    References listed on IDEAS

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    Cited by:

    1. Arnaud Daymard, 2018. "A Closer Look at the Mechanism of Structural Transformation: the Role of Land- versus Labor-Augmenting Technical Change in Agriculture," THEMA Working Papers 2018-11, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    2. Khayyat, Nabaz T. & Heshmati, Almas, 2014. "Production Risk, Energy Use Efficiency and Productivity of Korean Industries," Working Paper Series in Economics and Institutions of Innovation 359, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    3. Dong, Qi & Murakami, Tomoaki & Nakashima, Yasuhiro, 2021. "Induced Bias of Technological Change in Agriculture and Structural Transformation: A Translog Cost Function Analysis of Chinese Cereal Production," 2021 Conference, August 17-31, 2021, Virtual 315373, International Association of Agricultural Economists.

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