Stata: Data Analysis and Statistical Software

thanks for the quick response.

So in one of my estimations, atanhrho is -2.489 and rho is -0.244, but
the p-value of atanhrho is > 0.100, which means not significant based
on at least 10%-significance. Now which of the 2 interpretations are
correct:

(1) "persons who are less likely to do/have X, are more likely to
do/have (more of) Y, because the error terms are correlated, shown by
a negative rho and atanhrho"

or

(2) "no significant correlation between the error terms because for
atanrho p>0.100, so no result regarding the dependent variables
(despite that rho and atanrho not equal to 0.000)"


Thinking about interpreting atanrho, not rho, came from Roodman's
(2009) working paper, p. 26, but maybe I missunderstood it.
http://www.cgdev.org/files/1421516_file_Roodman_cmp_FINAL.pdf

LR

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