EconPapers    
Economics at your fingertips  
 

A New Measure of Fit for Equations with Dichotomous Dependent Variables

Arturo Estrella

Journal of Business & Economic Statistics, 1998, vol. 16, issue 2, 198-205

Abstract: The econometrics literature contains many alternative measures of goodness of fit, roughly analogous to R-squared, for use with equations with dichotomous dependent variables. There is, however, no consensus as to the measures' relative merits or about which ones should be reported in empirical work. This article proposes a new measure that possesses several useful properties that the other measures lack. The new measure may be interpreted intuitively in a similar way to R-squared in the linear regression context.

Date: 1998
References: Add references at CitEc
Citations: View citations in EconPapers (156) Track citations by RSS feed

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Working Paper: A new measure of fit for equations with dichotomous dependent variables (1997) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bes:jnlbes:v:16:y:1998:i:2:p:198-205

Ordering information: This journal article can be ordered from
http://www.amstat.org/publications/index.html

Access Statistics for this article

Journal of Business & Economic Statistics is currently edited by Jonathan H. Wright and Keisuke Hirano

More articles in Journal of Business & Economic Statistics from American Statistical Association
Bibliographic data for series maintained by Christopher F. Baum ().

 
Page updated 2019-10-12
Handle: RePEc:bes:jnlbes:v:16:y:1998:i:2:p:198-205