Modelling Primary Health Care Use: A Panel Zero Inflated Interval Regression Approach
AbstractWe introduce the (panel) zero-inflated interval regression (ZIIR) model, to investigate GP visits using individual-level data from the British Household Panel Survey. The ZIIR is particularly suitable for this application as it jointly estimates the probability of visiting the GP and then, conditional on visiting, 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.
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Bibliographic InfoPaper provided by The University of Sheffield, Department of Economics in its series Working Papers with number 2012026.
Length: 10 pages
Date of creation: 2012
Date of revision:
GP visits; panel data; zero-Inflated Interval Regression;
Find related papers by JEL classification:
- I10 - Health, Education, and Welfare - - Health - - - General
- C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-11-03 (All new papers)
- NEP-ECM-2012-11-03 (Econometrics)
- NEP-HEA-2012-11-03 (Health Economics)
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