gidm: A command for generalized inflated discrete models

Yiwei Xia, Yisu Zhou and Tianji Cai ()
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Yiwei Xia: Southwestern University of Finance and Economics
Yisu Zhou: University of Macau
Tianji Cai: University of Macau

Stata Journal, 2019, vol. 19, issue 3, 698-718

Abstract: In this article, we describe the gidm command for fitting generalized inflated discrete models that deal with multiple inflated values in a distribution. Based on the work of Cai, Xia, and Zhou (Forthcoming, Sociological Methods & Research: Generalized inflated discrete models: A strategy to work with multi- modal discrete distributions), generalized inflated discrete models are fit via max- imum likelihood estimation. Specifically, the gidm command fits Poisson, negative binomial, multinomial, and ordered outcomes with more than one inflated value. We illustrate this command through examples for count and categorical outcomes.

Keywords: gidm; generalized inflated discrete models; multiple inflated values; maximum likelihood (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1177/1536867X19874246

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