A zero inflated regression model for grouped data

Publication type

Research Paper

Series Number

14/1

Series

Bankwest Curtin Economics Centre Working Paper Series

Authors

Publication date

January 15, 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

22022791

Subjects

Link

https://ideas.repec.org/p/ozl/bcecwp/wp1401.html

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