Skip to content

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.

    1. Statistical Mathematics
    2. Health
    3. Surveys

#523412


Research home

Research home

News

Latest findings, new research

Publications search

Search all research by subject and author

Podcasts

Researchers discuss their findings and what they mean for society

Projects

Background and context, methods and data, aims and outputs

Events

Conferences, seminars and workshops

Survey methodology

Specialist research, practice and study

Taking the long view

ISER's annual report

Themes

Key research themes and areas of interest