文章基本信息

标题：Removing Specification Errors from the Usual Formulation of Binary Choice Models
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作者：Swamy, P.A.V.B. ; Chang, I-Lok ; Mehta, Jatinder S. 等
期刊名称：Econometrics
印刷版ISSN：2225-1146
出版年度：2016
卷号：4
期号：2
出版社：MDPI, Open Access Journal
摘要：We develop a procedure for removing four major specification errors from the usual formulation of binary choice models. The model that results from this procedure is different from the conventional probit and logit models. This difference arises as a direct consequence of our relaxation of the usual assumption that omitted regressors constituting the error term of a latent linear regression model do not introduce omitted regressor biases into the coefficients of the included regressors.
关键词：binary choice models; specification errors; stochastic coefficients