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

Stephen Pudney

Stata Journal, 2019, vol. 19, issue 3, 645-666

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 applica- tion to analysis of data from the UK Understanding Society survey on the demand for healthcare services.

Keywords: intcount; count data; interval data; zero-inflated; interpolation; Understanding Society (search for similar items in EconPapers)
Date: 2019
Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj19-3/st0571/
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.stata-journal.com/article.html?article=st0571 link to article purchase

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:tsj:stataj:v:19:y:2019:i:3:p:645-666

Ordering information: This journal article can be ordered from
http://www.stata-journal.com/subscription.html

DOI: 10.1177/1536867X19874240

Access Statistics for this article

Stata Journal is currently edited by Nicholas J. Cox and Stephen P. Jenkins

More articles in Stata Journal from StataCorp LLC
Bibliographic data for series maintained by Christopher F. Baum () and Lisa Gilmore ().