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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. Paulo Guimaraes, 2004. "Understanding the multinomial-Poisson transformation," Stata Journal, StataCorp LP, vol. 4(3), pages 265-273, September.
    2. Roberto G. Gutierrez & Shana Carter & David M. Drukker, 2001. "On boundary-value likelihood-ratio tests," Stata Technical Bulletin, StataCorp LP, vol. 10(60).
    3. 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.
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    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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