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gidm: A command for generalized inflated discrete models

Author

Listed:
  • Yiwei Xia

    (Southwestern University of Finance and Economics)

  • Yisu Zhou

    (University of Macau)

  • Tianji Cai

    (University of Macau)

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.

Suggested Citation

  • Yiwei Xia & Yisu Zhou & Tianji Cai, 2019. "gidm: A command for generalized inflated discrete models," Stata Journal, StataCorp LP, vol. 19(3), pages 698-718, September.
    • Handle: RePEc:tsj:stataj:v:19:y:2019:i:3:p:698-718
    DOI: 10.1177/1536867X19874246
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