Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/101106
Authors: 
Kleiber, Christian
Zeileis, Achim
Year of Publication: 
2014
Series/Report no.: 
Working Papers in Economics and Statistics 2014-20
Abstract: 
We show how the rootogram - a graphical tool associated with the work of J. W. Tukey and originally used for assessing goodness of fit of univariate distributions - can help to diagnose and treat issues such as overdispersion and/or excess zeros in regression models for count data. Two empirical illustrations, from ethology and from public health, are included. The former employs a negative binomial hurdle regression, the latter a two-component finite mixture of negative binomial models for which weighted versions of rootograms are utilized.
Subjects: 
rootogram
visualization
goodness of fit
count data
Poisson regression
negative binomial regression
hurdle model
finite mixture
JEL: 
C25
C52
C87
Document Type: 
Working Paper

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