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Aggregation Without Separability: Tests Of U.S. And Mexican Agricultural Production Data

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  • Lin, Ni
  • Davis, George C.
  • Shumway, C. Richard

Abstract

The generalized composite commodity theorem (Lewbel 1996) is used to test for consistent aggregation of U.S. and Mexican agricultural production data in each of the categories for which earlier tests rejected homothetic separability. All U.S. agricultural outputs can be justifiably aggregated into as few as four categories. All Mexican agricultural outputs can be aggregated into as few as five categories. The aggregation of all outputs into a single output cannot be supported in either country by sufficient conditions provided by the generalized composite commodity theorem and/or a homothetically separable technology.

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Bibliographic Info

Paper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 1998 Annual meeting, August 2-5, Salt Lake City, UT with number 20927.

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Date of creation: 1998
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Handle: RePEc:ags:aaea98:20927

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Keywords: aggregation; separability; generalized composite commodity theorem; Demand and Price Analysis;

References

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  1. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, Elsevier, vol. 54(1-3), pages 159-178.
  2. Jorge Fernandez-Cornejo & C. Richard Shumway, 1997. "Research and Productivity in Mexican Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, Agricultural and Applied Economics Association, vol. 79(3), pages 738-753.
  3. Lewbel, Arthur, 1996. "Aggregation without Separability: A Generalized Composite Commodity Theorem," American Economic Review, American Economic Association, vol. 86(3), pages 524-43, June.
  4. Susan M. Capalbo & Michael Denny, 1985. "Testing Long-Run Productivity Models for the Canadian and U.S. Agricultural Sectors," NBER Working Papers 1764, National Bureau of Economic Research, Inc.
  5. Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, Econometric Society, vol. 55(2), pages 251-76, March.
  6. Yir-Hueih Luh & Spiro E. Stefanou, 1996. "Estimating Dynamic Dual Models under Nonstatic Expectations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, Agricultural and Applied Economics Association, vol. 78(4), pages 991-1003.
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Cited by:
  1. 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).
  2. Reed, Albert J. & Levedahl, J. William & Clark, J. Stephen, 2003. "Commercial Disappearance and Composite Demand for Food with an Application to U.S. Meats," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, Western Agricultural Economics Association, vol. 28(01), April.
  3. Shumway, C. Richard & Davis, George C., 2000. "Does Consistent Aggregation Really Matter?," Ag Econ Series, Washington State University, School of Economic Sciences 12966, Washington State University, School of Economic Sciences.

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