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Abstract

This article demonstrates that, although there is no command in Stata for fitting hurdle models, the parameters of a hurdle model can be estimated in Stata rather easily using a combination of existing commands. We also include a likelihood evaluator to be used with Stata’s ml facilities to illustrate how to fit a hurdle model using ml’s cluster(), svy, and constraints() options.

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