Ridder, Geert; Montfort, Kees van - Tinbergen Institute - 1998
We show that a sufficient condition for the identification of all parameters of the censored regression model with a stochastic and unobserved threshold is that the errors are jointly normally distributed. Exclusion restrictions are not needed. <BR><BR>