Advanced Search
MyIDEAS: Login

A Computational Approach to Finding Causal Economic Laws

Contents:

Author Info

  • I-Lok Chang
  • P.A.V.B. Swamy
  • Charles Hallahan
  • George S. Tavlas

Abstract

This paper states four realities of econometric model building and shows that an econometric model can be causal only if the interpretations given to its coefficients are consistent with these realities. A numerically stable algorithm for estimating such a model subject to equality and inequality constraints on the model parameters is presented. This algorithm is designed in such a way that it can be applied even when the matrix of observations on the model‘s independent variables and the covariance matrix of the model‘s errors are deficient in rank.

Download Info

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: http://journals.kluweronline.com/issn/0927-7099/contents
Download Restriction: no

Bibliographic Info

Article provided by Society for Computational Economics in its journal Computational Economics.

Volume (Year): 16 (2000)
Issue (Month): 1/2 (October)
Pages: 105-136

as in new window
Handle: RePEc:kap:compec:v:16:y:2000:i:1/2:p:105-136

Contact details of provider:
Web page: http://www.springerlink.com/link.asp?id=100248
More information through EDIRC

Related research

Keywords: realities of econometric model building; causality; random coefficient models; nonlinear programming;

References

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

Citations

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

Cited by:
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page.

Lists

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

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:kap:compec:v:16:y:2000:i:1/2:p:105-136. 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: (Guenther Eichhorn) 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.