Alternative Techniques for Estimation of Cross-Section Gravity Models
This paper compares four different estimators with respect to their suitability for cross-section gravity model estimation. In many circumstances, a Hausman-Taylor approach can be recommended. This framework may provide consistent parameter estimates, when OLS or the traditional random-effects model are biased. In contrast to the fixed-effects approach, it allows to estimate parameters of variables such as GDP or GDP per capita, which vary only in a single dimension. The Hausman-Taylor model deserves attention in the estimation of cross-sectional gravity models. Copyright 2005 International Monetary Fund.
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.
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.
Volume (Year): 13 (2005)
Issue (Month): 5 (November)
|Contact details of provider:|| Web page: http://www.blackwellpublishing.com/journal.asp?ref=0965-7576|
|Order Information:||Web: http://www.blackwellpublishing.com/subs.asp?ref=0965-7576|
When requesting a correction, please mention this item's handle: RePEc:bla:reviec:v:13:y:2005:i:5:p:881-891. 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.