Endogenous switching regression model and treatment effects of count-data outcome

Takuya Hasebe

Stata Journal, 2020, vol. 20, issue 3, 627-646

Abstract: In this article, I describe the escount command, which implements the estimation of an endogenous switching model with count-data outcomes, where a potential outcome differs across two alternate treatment statuses. escount al- lows for either a Poisson or a negative binomial regression model with lognormal latent heterogeneity. After estimating the parameters of the switching regression model, one can estimate various treatment effects with the command teescount. I also describe the command lncount, which fits the Poisson or negative binomial regression model with lognormal latent heterogeneity.

Keywords: escount; lncount; teescount; self-selection; count data; treatment effects (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1177/1536867X20953573

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