Advanced Search
MyIDEAS: Login

Measures of Fit for Multinomial Discrete Models

Contents:

Author Info

  • J.S. Cramer

    () (Tinbergen Institute)

Abstract

In a discrete model, the predicted probabilities of a particular event can be matched to the observed (0, I) outcomes and this will give rise to a measure of fit for that event. Previous results for the binomial model are applied to multinomial models. In these models the measure of fit will vary between the various events, indicating that the model performs better for some than for others. In addition to these differential measures of fit for each separate event a single overall measure is constructed for the model as a whole.

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://papers.tinbergen.nl/01082.pdf
Download Restriction: no

Bibliographic Info

Paper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 01-082/4.

as in new window
Length:
Date of creation: 12 Sep 2001
Date of revision:
Handle: RePEc:dgr:uvatin:20010082

Contact details of provider:
Web page: http://www.tinbergen.nl

Related research

Keywords: Goodness of fit; orthogonal residuals; R2; multinomial logit model;

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

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

Citations

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:dgr:uvatin:20010082

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (webmaster-tinbergen).

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.