Endogenous switching regression model and treatment effects of count-data outcome
2020 ◽
Vol 20
(3)
◽
pp. 627-646
Keyword(s):
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.
2018 ◽
Vol 15
(3)
◽
pp. 760-773
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2018 ◽
Vol 24
(109)
◽
pp. 515
ANALISIS REGRESI COUNT DATA UNTUK PEMODELAN JUMLAH KASUS PENYAKIT TUBERKULOSIS DI KABUPATEN BANYUMAS
2021 ◽
Vol 13
(2)
◽
pp. 57
2011 ◽
Vol 1
(9)
◽
2021 ◽
Vol 1897
(1)
◽
pp. 012019