Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/125371 
Year of Publication: 
2015
Citation: 
[Journal:] IZA World of Labor [ISSN:] 2054-9571 [Article No.:] 148 [Publisher:] Institute for the Study of Labor (IZA) [Place:] Bonn [Year:] 2015
Publisher: 
Institute for the Study of Labor (IZA), Bonn
Abstract: 
Often, economic policies are directed toward outcomes that are measured as counts. Examples of economic variables that use a basic counting scale are number of children as an indicator of fertility, number of doctor visits as an indicator of health care demand, and number of days absent from work as an indicator of employee shirking. Several econometric methods are available for analyzing such data, including the Poisson and negative binomial models. They can provide useful insights that cannot be obtained from standard linear regression models. Estimation and interpretation are illustrated in two empirical examples.
Subjects: 
Poisson regression
negative binomial distribution
zero-inflation
hurdle model
JEL: 
C2
C25
Persistent Identifier of the first edition: 
Document Type: 
Article

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