A command for fitting mixture regression models for bounded dependent variables using the beta distribution

Laura A. Gray () and Monica Hernandez Alava
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Laura A. Gray: University of Sheffield

Stata Journal, 2018, vol. 18, issue 1, 51-75

Abstract: In this article, we describe the betamix command, which fits mixture regression models for dependent variables bounded in an interval. The model is a generalization of the truncated inflated beta regression model introduced in Pereira, Botter, and Sandoval (2012, Communications in Statistics—Theory and Methods 41: 907–919) and the mixture beta regression model in Verkuilen and Smithson (2012, Journal of Educational and Behavioral Statistics 37: 82–113) for variables with truncated supports at either the top or the bottom of the distri- bution. betamix accepts dependent variables defined in any range that are then transformed to the interval (0, 1) before estimation.

Keywords: betamix; truncated inflated beta mixture; beta regression; mixture model; cross-sectional data; mapping (search for similar items in EconPapers)
Date: 2018
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