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The Generalized Composite Commodity Theorem: Stronger Support in the Presence of Data Limitations

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  • George C. Davis

    (Texas A&M University)

Abstract

Because of common data limitations, the existing testing framework for the generalized composite commodity theorem (Lewbel, 1996) is incomplete. This note clarifies and strengthens the testing procedure by implementing modified Bonferroni procedures. The conditions are established for consistency between the existing and modified Bonferroni tests. In an empirical application, the Bonferroni tests provide more powerful support for the generalized composite commodity theorem than is obtained from the existing test. © 2003 President and Fellows of Harvard College and the Massachusetts Institute of Technology.

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  • 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.
    • Handle: RePEc:tpr:restat:v:85:y:2003:i:2:p:476-480
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    Citations

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    Cited by:

    1. Junichi Minagawa & Thorsten Upmann, 2019. "Price Effects on Compound Commodities," Scandinavian Journal of Economics, Wiley Blackwell, vol. 121(2), pages 630-646, April.
    2. Gibson, John & Kim, Bonggeun, 2015. "Hicksian separability does not hold over space: Implications for the design of household surveys and price questionnaires," Journal of Development Economics, Elsevier, vol. 114(C), pages 34-40.
    3. Reed, Albert J. & Levedahl, J. William & Hallahan, Charles B., 2004. "The Generalized Composite Commodity Theorem And Food Demand Estimation," 2004 Annual meeting, August 1-4, Denver, CO 20107, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Jason H. Grant, 2013. "Is the growth of regionalism as significant as the headlines suggest? Lessons from agricultural trade," Agricultural Economics, International Association of Agricultural Economists, vol. 44(1), pages 93-109, January.
    5. Onatski, Alexei & Wang, Chen, 2019. "Extreme canonical correlations and high-dimensional cointegration analysis," Journal of Econometrics, Elsevier, vol. 212(1), pages 307-322.
    6. Camilo Sarmiento & Richard Just, 2006. "A note on commodity price aggregation bias without separability," Applied Economics Letters, Taylor & Francis Journals, vol. 13(6), pages 365-368.
    7. Junichi Minagawa & Thorsten Upmann, 2016. "Price Effects on Compound Commodities," CESifo Working Paper Series 6060, CESifo.
    8. Alexei Onatski & Chen Wang, 2018. "Alternative Asymptotics for Cointegration Tests in Large VARs," Econometrica, Econometric Society, vol. 86(4), pages 1465-1478, July.
    9. Squires, Dale & Vestergaard, Niels, 2018. "Rethinking the commons problem: Technical change, knowledge spillovers, and social learning," Journal of Environmental Economics and Management, Elsevier, vol. 91(C), pages 1-25.
    10. 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.

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