Hello, Statalist fellows!

I'm finishing my bachelor's thesis, in which I'm running a right-censored Tobit model for a (0, 1] dependant variable.

After the regression, I need to compute the generalized residuals to check for normality and homoskedasticity. Sadly, the only formal reference that I got is from Cameron and Trivedi (2010) "Microeconometrics using Stata" and it is for a log transformed dependant variable and a left-censored estimation. I have severe doubts about computing the inverse Mills ratio, especially when I generate the threshold.

Please, help me.

Thanks in advance.

Regards,

Romar.

I'm finishing my bachelor's thesis, in which I'm running a right-censored Tobit model for a (0, 1] dependant variable.

After the regression, I need to compute the generalized residuals to check for normality and homoskedasticity. Sadly, the only formal reference that I got is from Cameron and Trivedi (2010) "Microeconometrics using Stata" and it is for a log transformed dependant variable and a left-censored estimation. I have severe doubts about computing the inverse Mills ratio, especially when I generate the threshold.

Please, help me.

Thanks in advance.

Regards,

Romar.

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