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Does Consistent Aggregation Really Matter?

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

Consistent aggregation assures that behavioral properties, which apply to disaggregate relationships also, apply to aggregate relationships. The agricultural economics literature is reviewed which has tested for consistent aggregation or measured statistical bias and/or inferential errors due to aggregation. Tests for aggregation bias and errors of inference are conducted using indices previously tested for consistent aggregation. Failure to reject consistent aggregation in a partition did not entirely mitigate erroneous inference due to aggregation. However, inferential errors due to aggregation were small relative to errors due to incorrect functional form or failure to account for time series properties of data.

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File URL: http://purl.umn.edu/12966
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Paper provided by Washington State University, School of Economic Sciences in its series Ag Econ Series with number 12966.

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Date of creation: 2000
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Handle: RePEc:ags:wsuaes:12966
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  1. 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 861-88, July.
  2. William A. Barnett, 1979. "Theoretical Foundations for the Rotterdam Model," Review of Economic Studies, Oxford University Press, vol. 46(1), pages 109-130.
  3. 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.
  4. Villezca-Becerra, Pedro A. & Shumway, C. Richard, 1992. "Multiple-Output Production Modeled With Three Functional Forms," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 17(01), July.
  5. 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.
  6. Arnade, Carlos Anthony & Davison, Cecil W., 1989. "Testing For Aggregation And Simultaneous Bias In U.S. Soybean Export Equations," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 21(02), December.
  7. Turner, Robert W. & Rockel, Mark L., 1988. "Estimating covariances of parameter estimates from different models," Economics Letters, Elsevier, vol. 26(2), pages 137-140.
  8. 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.
  9. 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).
  10. 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.
  11. Domowitz, Ian & White, Halbert, 1982. "Misspecified models with dependent observations," Journal of Econometrics, Elsevier, vol. 20(1), pages 35-58, October.
  12. Hongil Lim & C. Richard Shumway, 1992. "Separability in State-Level Agricultural Technology," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(1), pages 120-131.
  13. Shumway, C. Richard & Lim, Hongil, 1993. "Functional Form And U.S. Agricultural Production Elasticities," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 18(02), December.
  14. Berndt, Ernst R & Darrough, Masako N & Diewert, W E, 1977. "Flexible Functional Forms and Expenditure Distributions: An Application to Canadian Consumer Demand Functions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(3), pages 651-75, October.
  15. Huffman, Wallace E. & Evenson, Robert E., 2006. "Science for Agriculture: A Long Term Perspective," Staff General Research Papers 12362, Iowa State University, Department of Economics.
  16. Steven Buccola & Jayashree Sil, 1996. "Productivity Measurement in the Agricultural Marketing Sector," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(5), pages 1366-1371.
  17. George C. Davis, 1999. "The science and art of promotion evaluation," Agribusiness, John Wiley & Sons, Ltd., vol. 15(4), pages 465-483.
  18. K. Jegasothy & C. R. Shumway & H. Lim, 1990. "Production Technology And Input Allocations In Sri Lankan Multicrop Farming," Journal of Agricultural Economics, Wiley Blackwell, vol. 41(1), pages 33-46.
  19. Shon P. Williams & C. Richard Shumway, 1998. "Testing for Behavioral Objective and Aggregation Opportunities in U.S. Agricultural Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 195-207.
  20. Blundell, Richard & Pashardes, Panos & Weber, Guglielmo, 1993. "What Do We Learn About Consumer Demand Patterns from Micro Data?," American Economic Review, American Economic Association, vol. 83(3), pages 570-97, June.
  21. Chambers, Robert G. & Pope, Rulon D., 1996. "Aggregable price-taking firms," European Economic Review, Elsevier, vol. 40(2), pages 417-428, February.
  22. Sckokai, Paolo & Moro, Daniele, 1996. "Direct Separability in Multi-output Technologies: An Application to the Italian Agricultural Sector," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 23(1), pages 95-116.
  23. 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.
  24. Sellen, Daniel & Goddard, Ellen, 1997. "Weak Separability in Coffee Demand Systems," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 24(1), pages 133-44.
  25. Richard E. Just & Rulon D. Pope, 1999. "Implications of Heterogeneity for Theory and Practice in Production Economics," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(3), pages 711-718.
  26. Lee, Kevin C & Pesaran, M Hashem & Pierse, Richard G, 1990. "Testing for Aggregation Bias in Linear Models," Economic Journal, Royal Economic Society, vol. 100(400), pages 137-50, Supplemen.
  27. Polson, Rudolph A. & Shumway, C. Richard, 1990. "Structure Of South Central Agricultural Production," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 22(02), December.
  28. Hongil Lim & C. Richard Shumway, 1997. "Technical Change and Model Specification: U.S. Agricultural Production," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(2), pages 543-554.
  29. Chambers,Robert G., 1988. "Applied Production Analysis," Cambridge Books, Cambridge University Press, number 9780521314275.
  30. Lewbel, Arthur, 1996. "Aggregation without Separability: A Generalized Composite Commodity Theorem," American Economic Review, American Economic Association, vol. 86(3), pages 524-43, June.
  31. George C. Davis, 1997. "Product Aggregation Bias as a Specification Error in Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 100-109.
  32. P. Simmons, 1980. "Evidence on the Impact of Income Distribution on Consumer Demand in the UK 1955–68," Review of Economic Studies, Oxford University Press, vol. 47(5), pages 893-906.
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