Visualizing Count Data Regressions Using Rootograms

Christian Kleiber and Achim Zeileis ()

Working Papers from Faculty of Economics and Statistics, Universität Innsbruck

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.

Keywords: rootogram; visualization; goodness of fit; count data; Poisson regression; negative binomial regression; hurdle model; finite mixture (search for similar items in EconPapers)
JEL-codes: C25 C52 C87 (search for similar items in EconPapers)
Pages: 21
Date: 2014-07
New Economics Papers: this item is included in nep-ecm
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Citations: View citations in EconPapers (4)

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https://www2.uibk.ac.at/downloads/c4041030/wpaper/2014-20.pdf (application/pdf)

Related works:
Journal Article: Visualizing Count Data Regressions Using Rootograms (2016)
Working Paper: Visualizing Count Data Regressions Using Rootograms (2014)
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Persistent link: https://EconPapers.repec.org/RePEc:inn:wpaper:2014-20

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