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Testing aggregation consistency across geography and commodities

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  • Qinghua Liu
  • C. Richard Shumway

Abstract

Consistent aggregation of production data across commodities and Western USA states was tested using Lewbel's generalised composite commodity theorem. The applicability of the generalised composite commodity theorem for testing consistent geographic aggregation was demonstrated and applied to two groups of states. Consistent commodity aggregation was tested in each state for two output groups and three input groups and in one state for a larger number of groups. Most tests for commodity aggregation supported consistent aggregation of inputs but not outputs. Consistent geographic aggregation was supported for each output and input category across Pacific Northwest states but only for inputs across all Western states.

Suggested Citation

  • 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.
  • Handle: RePEc:bla:ajarec:v:48:y:2004:i:3:p:463-486
    DOI: 10.1111/j.1467-8489.2004.00255.x
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    1. George C. Davis, 2003. "The Generalized Composite Commodity Theorem: Stronger Support in the Presence of Data Limitations," The Review of Economics and Statistics, MIT Press, vol. 85(2), pages 476-480, May.
    2. Lewbel, Arthur, 1996. "Aggregation without Separability: A Generalized Composite Commodity Theorem," American Economic Review, American Economic Association, vol. 86(3), pages 524-543, June.
    3. Karagiannis, G. & Mergos, G. J., 2002. "Estimating theoretically consistent demand systems using cointegration techniques with application to Greek food data," Economics Letters, Elsevier, vol. 74(2), pages 137-143, January.
    4. Daniel Hellerstein, 1995. "Welfare Estimation Using Aggregate and Individual-Observation Models: A Comparison Using Monte Carlo Techniques," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(3), pages 620-630.
    5. Frank Asche & Helge Bremnes & Cathy R. Wessells, 1999. "Product Aggregation, Market Integration, and Relationships between Prices: An Application to World Salmon Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(3), pages 568-581.
    6. 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).
    7. George C. Davis & Ni Lin & C. Richard Shumway, 2000. "Aggregation without Separability: Tests of the United States and Mexican Agricultural Production Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(1), pages 214-230.
    8. Pesaran, M Hashem & Pierse, Richard G & Kumar, Mohan S, 1989. "Econometric Analysis of Aggregation in the Context of Linear Prediction Models," Econometrica, Econometric Society, vol. 57(4), pages 861-888, July.
    9. Rulon D. Pope & Robert G. Chambers, 1989. "Price Aggregation When Price-Taking Firms' Prices Vary," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 56(2), pages 297-309.
    10. Eales, James S. & Hyde, Jeffrey & Schrader, Lee F., 1998. "A Note On Dealing With Poultry In Demand Analysis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 23(2), pages 1-10, December.
    11. repec:hal:spmain:info:hdl:2441/f0uohitsgqh8dhk9820172631 is not listed on IDEAS
    12. 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.
    13. Chambers,Robert G., 1988. "Applied Production Analysis," Cambridge Books, Cambridge University Press, number 9780521314275.
    14. Richard Blundell & Jean-Marc Robin, 2000. "Latent Separability: Grouping Goods without Weak Separability," Econometrica, Econometric Society, vol. 68(1), pages 53-84, January.
    15. Cochrane, John H., 1991. "A critique of the application of unit root tests," Journal of Economic Dynamics and Control, Elsevier, vol. 15(2), pages 275-284, April.
    16. Jean-Paul Chavas & Thomas L. Cox, 1988. "A Nonparametric Analysis of Agricultural Technology," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(2), pages 303-310.
    17. Shon P. Williams & C. Richard Shumway, 1998. "Aggregation of data and profit maximization in Mexican agriculture," Applied Economics, Taylor & Francis Journals, vol. 30(2), pages 235-244, February.
    18. Subhash C. Ray, 1982. "A Translog Cost Function Analysis of U.S. Agriculture, 1939–77," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 64(3), pages 490-498.
    19. Stoker, Thomas M, 1986. "Simple Tests of Distributional Effects on Macroeconomic Equations," Journal of Political Economy, University of Chicago Press, vol. 94(4), pages 763-795, August.
    20. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    21. Lim, Hongil & Shumway, C Richard, 1992. "Profit Maximization, Returns to Scale, and Measurement Error," The Review of Economics and Statistics, MIT Press, vol. 74(3), pages 430-438, August.
    22. Robert G. Chambers & Rulon D. Pope, 1991. "Testing for Consistent Aggregation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(3), pages 808-818.
    23. Sckokai, Paolo & Moro, Daniele, 1996. "Direct Separability in Multi-output Technologies: An Application to the Italian Agricultural Sector," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 23(1), pages 95-116.
    24. V. Eldon Ball, 1988. "Modeling Supply Response in a Multiproduct Framework," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(4), pages 813-825.
    25. Russell, Thomas, 1982. "Exact aggregation as a corollary of Richmond's theorem," Economics Letters, Elsevier, vol. 9(4), pages 311-314.
    26. Arthur Lewbel, 1992. "Aggregation with Log-Linear Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 59(3), pages 635-642.
    27. William A. Barnett, 1979. "Theoretical Foundations for the Rotterdam Model," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 46(1), pages 109-130.
    28. 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.
    29. MacKinnon, James G, 1996. "Numerical Distribution Functions for Unit Root and Cointegration Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 601-618, Nov.-Dec..
    30. Polson, Rudolph A. & Shumway, C. Richard, 1990. "Structure Of South Central Agricultural Production," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 22(2), pages 1-11, December.
    31. MacKinnon, James G, 1994. "Approximate Asymptotic Distribution Functions for Unit-Root and Cointegration Tests," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(2), pages 167-176, April.
    32. Susan M. Capalbo & Michael G. S. Denny, 1986. "Testing Long-Run Productivity Models for the Canadian and U.S. Agricultural Sectors," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(3), pages 615-625.
    33. C. Richard Shumway, 1983. "Supply, Demand, and Technology in a Multiproduct Industry: Texas Field Crops," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 65(4), pages 748-760.
    34. John Muellbauer, 1975. "Aggregation, Income Distribution and Consumer Demand," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 42(4), pages 525-543.
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