Modelling Primary Health Care Use: A Panel Zero Inflated Interval Regression Approach
We 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.
|Date of creation:||2012|
|Date of revision:|
|Contact details of provider:|| Postal: 9 Mappin Street, SHEFFIELD, S1 4DT|
Phone: +44 114 222 3399
Fax: + 44 (0)114 222 3458
Web page: http://www.shef.ac.uk/economics
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:shf:wpaper:2012026. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jacob Holmes)
If references are entirely missing, you can add them using this form.