Intcount: A command for fitting count-data models from interval data. (September 2019)

• Record Type: Journal Article
• Authors: Pudney, Stephen
• Is Part Of: Stata journal. Volume 19:Number 3(2019)
• Page Start: 645
• Page End: 666
• Publication Date: 2019-09
• Subjects: st0571 -- intcount -- count data -- interval data -- zero-inflated -- interpolation -- Understanding Society; Statistics -- Periodicals; Statistics -- Computer programs -- Periodicals; 001.422
• DOI: 10.1177/1536867X19874240
• Languages: English
• ISSNs: 1536-867X

Abstract

In this article, I describe a community-contributed command, intcount, that fits one of several regression models for count data observed in interval form. The models available are Poisson, negative binomial, and binomial, and they can be fit in standard or zero-inflated form. I illustrate the command with an application to analysis of data from the UK Understanding Society survey on the demand for healthcare services.