A Zero Inflated Regression Model for Grouped Data

Sarah Brown (), Alan Duncan, Mark Harris, Jennifer Roberts and Karl Taylor

No WP1401, Bankwest Curtin Economics Centre Working Paper series from Bankwest Curtin Economics Centre (BCEC), Curtin Business School

Abstract: 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.

Keywords: interval regression; inflated responses; health care allocation; general practitioners (search for similar items in EconPapers)
JEL-codes: C3 D1 I1 (search for similar items in EconPapers)
Pages: 14 pages
Date: 2014-01
New Economics Papers: this item is included in nep-ecm
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Related works:
Journal Article: A Zero-Inflated Regression Model for Grouped Data (2015)
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