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

Publication Type: Understanding Society Working Paper Series
Publication date: 10 October 2018
Series: Understanding Society Working Paper Series

Author

Stephen Pudney

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.

Subjects

Link

https://www.understandingsociety.ac.uk/research/publications/525306

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

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Cite this publication

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{ukhls2018-08,
  author = {Pudney, S.},
  title = {IntCount: a Stata command for estimating count data models from interval data},
  institution = {University of Essex},
  type = {Understanding Society Working Paper Series},
  number = {2018-08},
  year = {2018},
  address = {Colchester},
}

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