Apostolos Ballas <[email protected]> :
I assume the reviewer means quantile regression. There is some
squishiness in the definitions of rank and quantile in this area--see
for example the help file for -qreg- which says
quantile(#) specifies the quantile to be estimated and should be a
number between 0 and 1, exclusive. Numbers larger than 1 are
interpreted as percentages. The default value of 0.5 corresponds to
the median.
and many people would also call that number between 0 and 1 a rank.
Of course, the quantile is not the number r between 0 and 1, it is the
value at which the CDF equals r, and with N obs, the rank would be
about Nr not r, but the sloppy terminology notwithstanding, use -qreg-
to get a sense of the distribution of y given X rather than just the
mean of y given X.
On Fri, Sep 25, 2009 at 1:49 PM, Apostolos Ballas <[email protected]> wrote:
> A very persistent referee is asking that I carry out an analysis using rank
> regression. Could you please suggest how this is done in Stata since there
> appears no reference in the manuals? Also, if anyone could also help me with
> the statistics, how does it compare with quantile regression?
>
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