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A Zero‐Inflated Regression Model for Grouped Data
Author(s) -
Brown Sarah,
Duncan Alan,
Harris Mark N.,
Roberts Jennifer,
Taylor Karl
Publication year - 2015
Publication title -
oxford bulletin of economics and statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.131
H-Index - 73
eISSN - 1468-0084
pISSN - 0305-9049
DOI - 10.1111/obes.12086
Subject(s) - zero (linguistics) , statistics , regression analysis , panel data , econometrics , regression , mathematics , confidence interval , interval (graph theory) , combinatorics , philosophy , linguistics
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.