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# Re: st: One-sided test on difference between correlation coefficients

 From Austin Nichols To statalist@hsphsun2.harvard.edu Subject Re: st: One-sided test on difference between correlation coefficients Date Sat, 30 Jul 2011 11:26:10 -0400

```Michael Boehm <michael.boehm1@gmail.com>:
Note that GDP, not the unemployment rate, is the usual definition of
"cyclical" (the unemployment rate might peak a year or more after a
trough in GDP), not that I advocate using GDP. But why not use
regression instead of correlation?

glm a unem, link(log)
est sto r1
glm n unem, link(log)
est sto r2
suest r1 r2
test [r1_a]unem==[r2_n]unem

Now you can also put other predictors on the right hand side.  You
might also use state-specific unemployment rates and job offer counts,
and cluster by state to allow for serial correlation.

On Sat, Jul 30, 2011 at 11:09 AM, Michael Boehm
<michael.boehm1@gmail.com> wrote:
> Dear all,
>
> My coauthor and I are looking at the correlation between the
> unemployment rate and the number of academic and non-academic job
> offers in the American Economic Association's "Job Offers for
> Economists" publication. We are computing correlations of the kind:
>
> pwcorr acadnewjobs_res nonacadnewjobs_res unem, sig obs
>
>                     | acadn~es nonaca..     unem
> -------------+---------------------------
> acadnewjo~es |   1.0000
>                     |
>                     |       274
>                     |
> nonacadne~es |   0.4460   1.0000
>                     |   0.0000
>                     |        273       273
>                     |
>            unem |  -0.1222  -0.2580   1.0000
>                     |   0.0432   0.0000
>                     |        274       273       409
>
> Where unem is the unemployment rate and acadnewjobs_res and
> non-academic new jobs, respectively, in a given month. We would like
> to test whether the former are less cyclical than the latter, i.e.
> whether the pwcorr(acadnewjobs_res,unem) <
> pwcorr(nonacadnewjobs_res,unem). Does any of you have an idea how to
> nicely do this in Stata?
>
> Thanks,
> Michael

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