Journal Article
A zero-inflated regression model for grouped data
Authors
Publication date
Dec 2015
Summary
We introduce the (panel) zero-inflated interval regression (ZIIR) model, which is ideally suited when data are in the form of groups, and there is an ‘excess’ of zero observations. We apply our new modelling framework to the analysis of visits to the general practitioner (GP) using individual-level data from the British Household Panel Survey. The ZIIR model simultaneously estimates the probability of visiting the GP and the frequency of visits (defined by given numerical intervals in the data). The results show that different socio-economic factors influence the probability of visiting the GP and the frequency of visits.
Published in
Oxford Bulletin of Economics and Statistics
Volume and page numbers
77 , 822 -831
DOI
http://dx.doi.org/10.1111/obes.12086
ISSN
16
Subjects
Statistical Mathematics, Health, and Surveys
Links
http://serlib0.essex.ac.uk/record=b1584905~S5
Notes
Albert Sloman Library Periodicals *restricted to Univ. Essex registered users*
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