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 allows 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.

中文翻译：

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内生转换回归模型和计数数据结果的治疗效果

在本文中，我描述了escount命令，该命令实现了带有计数数据结果的内生转换模型的估计，其中两种不同的治疗状态下的潜在结果都不同。escount允许使用具有对数正态潜在异质性的Poisson或负二项式回归模型。在估计切换回归模型的参数之后，可以使用命令teescount估计各种处理效果。我还描述了lncount命令，该命令适合具有对数正态潜在异质性的Poisson或负二项式回归模型。