You are not currently logged in.
Access your personal account or get JSTOR access through your library or other institution:
R-Squared Measures for Count Data Regression Models with Applications to Health-Care Utilization
A. Colin Cameron and Frank A. G. Windmeijer
Journal of Business & Economic Statistics
Vol. 14, No. 2 (Apr., 1996), pp. 209-220
Stable URL: http://www.jstor.org/stable/1392433
Page Count: 12
Preview not available
R-squared measures of goodness of fit for count data are rarely, if ever, reported in empirical studies or by statistical packages. We propose several R-squared measures based on various definitions of residuals for the basic Poisson regression model and for more general models such as negative binomial that accommodate overdispersed data. The preferred R-squared measure is based on the deviance residual. An application to data on health-care-service utilization measured in counts illustrates the performance and usefulness of the various R-squared measures.
Journal of Business & Economic Statistics © 1996 American Statistical Association