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Erscheinungsjahr: 
2014
Schriftenreihe/Nr.: 
Working Papers in Economics and Statistics No. 2014-20
Verlag: 
University of Innsbruck, Research Platform Empirical and Experimental Economics (eeecon), Innsbruck
Zusammenfassung: 
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.
Schlagwörter: 
rootogram
visualization
goodness of fit
count data
Poisson regression
negative binomial regression
hurdle model
finite mixture
JEL: 
C25
C52
C87
Dokumentart: 
Working Paper

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