IDEAS home Printed from
MyIDEAS: Login to save this article or follow this journal

A Box-Cox Double-Hurdle Model

  • Jones, Andrew M
  • Yen, Steven T

The double-hurdle model with dependence is extended by incorporating the Box-Cox transformation. The model nests a range of popular limited dependent variable models, including the Gaussian double-hurdle, the generalized Tobit, and two-part models. Estimates of US beef consumption suggest that the Box-Cox specification outperforms all other restrictive models. Price elasticities are small and similar to findings in the literature. Household age composition and demographic variables also play significant roles in determining beef consumption. Income and cross-price elasticities are insignificant. Copyright 2000 by Blackwell Publishers Ltd and The Victoria University of Manchester

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
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 look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by University of Manchester in its journal Manchester School.

Volume (Year): 68 (2000)
Issue (Month): 2 (March)
Pages: 203-21

in new window

Handle: RePEc:bla:manchs:v:68:y:2000:i:2:p:203-21
Contact details of provider: Postal: Manchester M13 9PL
Phone: (0)161 275 4868
Fax: (0)161 275 4812
Web page:

More information through EDIRC

Order Information: Web:

No references listed on IDEAS
You can help add them by filling out this form.

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:bla:manchs:v:68:y:2000:i:2:p:203-21. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing)

or (Christopher F. Baum)

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

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

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.