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A simple approach to fit the beta-binomial model

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  • Paulo Guimarães

    (Medical University of South Carolina)

Abstract

In this paper, I show how to estimate the parameters of the beta- binomial distribution and its multivariate generalization, the Dirichlet-multinomial distribution. This approach involves no additional programming, as it relies on an existing Stata command used for overdispersed count panel data. Including covariates to allow for regression models based in these distributions is straightforward. Copyright 2005 by StataCorp LP.

Suggested Citation

  • Paulo Guimarães, 2005. "A simple approach to fit the beta-binomial model," Stata Journal, StataCorp LP, vol. 5(3), pages 385-394, September.
    • Handle: RePEc:tsj:stataj:v:5:y:2005:i:3:p:385-394
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    References listed on IDEAS

    as
    1. Roberto G. Gutierrez & Shana Carter & David M. Drukker, 2001. "On boundary-value likelihood-ratio tests," Stata Technical Bulletin, StataCorp LP, vol. 10(60).
    2. Heckman, James J & Willis, Robert J, 1977. "A Beta-logistic Model for the Analysis of Sequential Labor Force Participation by Married Women," Journal of Political Economy, University of Chicago Press, vol. 85(1), pages 27-58, February.
    3. Paulo Guimaraes, 2004. "Understanding the multinomial-Poisson transformation," Stata Journal, StataCorp LP, vol. 4(3), pages 265-273, September.
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    Cited by:

    1. Schaffner, Florian, 2016. "Information transmission in high dimensional choice problems: The value of online ratings in the restaurant market," VfS Annual Conference 2016 (Augsburg): Demographic Change 145585, Verein für Socialpolitik / German Economic Association.
    2. Erda Wang & Jianhua Wei & Jiawei Zhu, 2017. "The effects of improving coastal park attributes on the recreation demand—A case study in Dalian China," Tourism Economics, , vol. 23(1), pages 133-149, February.

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