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Testing Long-Run Productivity Models for the Canadian and U.S. Agricultural Sectors

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Author Info
Susan M. Capalbo
Michael Denny

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Abstract

This paper discusses a portion of our work linking data on the agriculture sector in the United States and Canada. The purpose of this work is to explore the evolution of gains in agricultural productivity in the two countries during the post-WWII period. Comparable data has been developed for each country and a series of tests have been applied about the nature of the long-run production sector. These tests are designed to evaluate the alternate possible structures of shifts in the long-run technology over time.There is considerable evidence in both countries that the long-run shifts have been Hicks Neutral in models that use gross, not net, output measures. The reverse is true for the net output models. The use of the conventional net output measures is strongly rejected. However there is evidence, in both countries, in support of the hypothesis that separability of a type that is similar to, but weaker, than real-value added is not rejected.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 1764.

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Date of creation: Nov 1985
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Handle: RePEc:nbr:nberwo:1764

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. Berndt, Ernst R & Wood, David O, 1975. "Technology, Prices, and the Derived Demand for Energy," The Review of Economics and Statistics, MIT Press, vol. 57(3), pages 259-68, August. [Downloadable!] (restricted)
  2. May, J D & Denny, M, 1979. "Factor-Augmenting Technical Progress and Productivity in U.S. Manufacturing," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 20(3), pages 759-74, October. [Downloadable!] (restricted)
  3. Blackorby, Charles & Primont, Daniel & Russell, R. Robert, 1977. "On testing separability restrictions with flexible functional forms," Journal of Econometrics, Elsevier, vol. 5(2), pages 195-209, March. [Downloadable!] (restricted)
  4. Denny, Michael & Fuss, Melvyn A, 1977. "The Use of Approximation Analysis to Test for Separability and the Existence of Consistent Aggregates," American Economic Review, American Economic Association, vol. 67(3), pages 404-18, June. [Downloadable!] (restricted)
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  1. Moss, Charles & Erickson, Kenneth & Ball, Eldon & Mishra, Ashok, 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). [Downloadable!]
  2. Ashok K. Mishra & Charles B. Moss & Kenneth Erickson, 2004. "Valuing farmland with multiple quasi-fixed inputs," Applied Economics, Taylor and Francis Journals, vol. 36(15), pages 1669-1675, August. [Downloadable!] (restricted)
  3. Shumway, C. Richard & Davis, George C., 2000. "Does Consistent Aggregation Really Matter?," Ag Econ Series 12966, Washington State University, School of Economic Sciences. [Downloadable!]
  4. Thilmany, Dawn D. & Espey, Molly, 1998. "Farm Labor Demand And Supply: A Meta-Analysis Of Wage Elasticities," 1998 Annual meeting, August 2-5, Salt Lake City, UT 21001, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association). [Downloadable!]
  5. Liu, Qinghua & Shumway, C. Richard, 2003. "Testing Aggregation Consistency Across Geography And Commodities," 2003 Annual meeting, July 27-30, Montreal, Canada 22201, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association). [Downloadable!]
  6. Andersen, Matt A. & Alston, Julian M. & Pardey, Philip G., 2007. "Capital Use Intensity and Productivity Biases," Staff Papers 7314, University of Minnesota, Department of Applied Economics. [Downloadable!]
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