IDEAS home Printed from https://ideas.repec.org/a/tpr/restat/v85y2003i2p476-480.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.mitpressjournals.org/doi/pdf/10.1162/rest.2003.85.2.476
    File Function: link to full text
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. 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.
    6. Onatski, Alexei & Wang, Chen, 2019. "Extreme canonical correlations and high-dimensional cointegration analysis," Journal of Econometrics, Elsevier, vol. 212(1), pages 307-322.
    7. 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.
    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. Junichi Minagawa & Thorsten Upmann, 2016. "Price Effects on Compound Commodities," CESifo Working Paper Series 6060, CESifo.
    10. 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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tpr:restat:v:85:y:2003:i:2:p:476-480. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kelly McDougall (email available below). General contact details of provider: https://direct.mit.edu/journals .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.