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

Author

Listed:
  • 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.

Suggested Citation

  • Lin, Ni & Davis, George C. & Shumway, C. Richard, 1998. "Aggregation Without Separability: Tests Of U.S. And Mexican Agricultural Production Data," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20927, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea98:20927
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    File URL: http://purl.umn.edu/20927
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    References listed on IDEAS

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    1. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
    2. 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.
    3. Lewbel, Arthur, 1996. "Aggregation without Separability: A Generalized Composite Commodity Theorem," American Economic Review, American Economic Association, vol. 86(3), pages 524-543, June.
    4. 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, vol. 54(1-3), pages 159-178.
    5. Jorge Fernandez-Cornejo & C. Richard Shumway, 1997. "Research and Productivity in Mexican Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(3), pages 738-753.
    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, vol. 78(4), pages 991-1003.
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    Citations

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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), June.
    2. Qinghua Liu & C. Richard Shumway, 2004. "Testing aggregation consistency across geography and commodities," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(3), pages 463-486, September.
    3. 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, vol. 28(01), April.

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