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*

Related publications

1. A zero inflated regression model for grouped data

   Sarah Brown, Alan Duncan, Mark Harris, et al.

   Research Paper, Bankwest Curtin Economics Centre Working Paper Series, 14/1 - Jan 2014
   1. Statistical Mathematics
   2. Health
   3. Surveys

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