Question: In a top coded censored regression: y* = x + u, u ~ N(0, 2), y = min{y*, c}, where we can observe (y, x).
In a top coded censored regression: y* = x + u, u ~ N(0, 2), y = min{y*, c}, where we can observe (y, x). Suppose that (b, s2) are the maximum likelihood estimators of (, 2) respectively. Which one of the following statements is correct? aWe can interpret b just as in a linear regression model. b.We should interpret b similar to the Tobit model. c.An OLS regression using the uncensored observations produces consistent estimators. d.An OLS regression using all observations produces consistent estimators. e.None of the listed answers is correct
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