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st: RE: RE: -esttab- label and -estpost- Spearman
From
Amy Dunbar <[email protected]>
To
"[email protected]" <[email protected]>
Subject
st: RE: RE: -esttab- label and -estpost- Spearman
Date
Mon, 18 Oct 2010 14:24:14 +0000
Thank you! Worked great. Here's my final code.
egen rETR1 = rank (GAAP_ETR_t), unique
egen rETR2 = rank (CURR_ETR_t), unique
egen rETR3 = rank (CASH_ETR_t), unique
egen rETR4 = rank (LR_CASH_ETR_t), unique
egen rBTD = rank (w_totalBTD), unique
egen rpBTD = rank (w_permBTD), unique
egen rDTAX = rank (w_DTAX), unique
egen raBTD = rank (w_abnBTD), unique
egen rSCOR = rank (w_SHELTER), unique
* correlate gives same results as pwcorr
* The columns of the matrix are stored in separate equations. Hence, use the unstack option in esttab or estout to print the matrix.
estpost correlate GAAP_ETR_t CURR_ETR_t CASH_ETR_t LR_CASH_ETR_t w_totalBTD w_permBTD w_DTAX w_abnBTD w_SHELTER, matrix quietly
esttab . using "table3.rtf", replace notype unstack compress noobs nogaps nostar ///
title({\b Table 3, Panel A:} {\i Correlations}) ///
label varwidth(8) modelwidth(7) ///
nonotes nonumbers
* correlate gives same results as spearman when correlating ranked variables. Output full matrix to enable easy cut and paste into upper half of pwcorr correlation matrix above.
estpost correlate rETR1 rETR2 rETR3 rETR4 rBTD rpBTD rDTAX raBTD rSCOR, matrix nohalf quietly
esttab . using "table3.rtf", append notype unstack compress noobs nogaps nostar ///
title({\b Table 3, Panel B:} {\i Spearman Rank Correlations}) ///
varwidth(8) modelwidth(7) ///
nonotes nonumbers
-----Original Message-----
From: [email protected] [mailto:[email protected]] On Behalf Of Nick Cox
Sent: Sunday, October 17, 2010 11:21 AM
To: '[email protected]'
Subject: st: RE: -esttab- label and -estpost- Spearman
You can always get Spearman rank correlations by ranking the variables and then running -correlate-. That's what they are.
Nick
[email protected]
Amy Dunbar
3. Is there a way to estimate Spearman correlations using -estpost-?
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