Working paper Understanding Society Working Paper Series

IntCount: a Stata command for estimating count data models from interval data

Publication details

Series: Understanding Society Working Paper Series
Series number: 2018-08
Publication date: 10 October 2018
Pages: pp. 1–20

Abstract

This article describes a user-written Stata command, intcount, for estimation of a number of regression models for count data which are observed in interval form. The models available are Poisson, negative binomial and binomial, and they can be estimated in standard or zero-inflated form. Use of the command is illustrated with an application to analysis of data from the UK Understanding Society survey on the demand for healthcare services.

Notes

PLEASE CITE AS: Pudney, S. (2019) ‘intcount: a command for fitting count-data models from interval data', The Stata Journal, 19(3):645-666. https://doi.org/10.1177/1536867X19874240

intcount: a command for fitting count-data models from interval data

Stephen Pudney

September 2019 Journal Article

Statistical Analysis
Health
Computing

Explore this topic

Cite

Pudney, S. (2018) IntCount: a Stata command for estimating count data models from interval data, Understanding Society Working Paper Series, No.2018-08. Colchester: University of Essex

@techreport{iser2018-08,
        author = {Pudney, S.},
        title = {IntCount: a Stata command for estimating count data models from interval data},
        institution = {University of Essex},
        number = {No.2018-08},
        type = {Understanding Society Working Paper Series},
        year = 2018,
        address = {Colchester}
        }

Search

Publication details

Abstract

Notes

Related publications

intcount: a command for fitting count-data models from interval data