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Re: st: inverse mill's ratio
The function is correct.
The function normd() is the standard-normal pdf. That is, the normal
density with mean zero and standard deviation 1.
The function normprob() is the standard normal cdf, that is, the area
under the normal density from negative infinity to yhat.
Looking at these functions in Stata 9.2, it seems as though the density
function should be normalden(), while the distribution function should
Hope this helps,
On Wed, 16 Aug 2006 03:39:20 -0700 (PDT)
Nishant Dass <firstname.lastname@example.org> wrote:
JS>I have the following question about Inverse Mill's Ratio:
JS>I run a probit regression for the selection equation and
JS>want to calculate the inverse mill's ratio.
JS>I found the following formula:
JS> gen imr = normd(y_hat)/normprob(y_hat)
JS>where "y_hat" is the fitted value from the probit equation.
JS>I tried searching for "normd" and "normprob" functions to
JS>see what this formula really does but couldn't find these
JS>functions in STATA Help.
JS>Could someone please confirm whether this is the correct
JS>formula for calculating the inverse mill's ratio? Thank
JS>you very much.
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