Research Paper Bankwest Curtin Economics Centre Working Paper Series 14/1
A zero inflated regression model for grouped data
Authors
Publication date
Jan 2014
Summary
We introduce the (panel) zero-inflated interval regression (ZIIR) model, which is ideally suited when data are in the form of groups, which is commonly the case in survey data, and there is an ‘excess’ of zero observations. We apply our new modelling framework to the analysis of visits to general practitioners (GPs) using individual-level panel data from the British Household Panel Survey (BHPS). 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, thereby providing potentially valuable information to policy-makers concerned with health care allocation.
ISSN
16
Subjects
Statistical Mathematics, Health, and Surveys
Links
https://ideas.repec.org/p/ozl/bcecwp/wp1401.html
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