A zero-inflated regression model for grouped data

Publication type

Journal Article

Authors

Publication date

December 15, 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

Volume: 77 , p.822 -831

DOI

http://dx.doi.org/10.1111/obes.12086

ISSN

14680084

Subjects

Notes

Albert Sloman Library Periodicals *restricted to Univ. Essex registered users*

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