# Re: st: Confidence Interval for Standardized Coefficients

 From Richard Williams To statalist@hsphsun2.harvard.edu Subject Re: st: Confidence Interval for Standardized Coefficients Date Wed, 07 Mar 2007 07:30:53 -0500

```At 07:19 AM 3/7/2007, Mak, Timothy wrote:
```
```Hi,

SPSS can apparently produce the Meyer and Younger (1976) confidence
interval for standardized coefficients in linear regression. Can Stata
produce anything equivalent?
```
I'm not familiar with Meyer and Younger. But, my guess is that you could standardize the variables yourself and then run the regression. In this example I use Ben Jann's -center- command, available from SSC.

. webuse auto, clear
(1978 Automobile Data)

. quietly reg price weight foreign

. center price weight foreign if e(sample), s

. reg c_price c_weight c_foreign

Source | SS df MS Number of obs = 74
-------------+------------------------------ F( 2, 71) = 35.35
Model | 36.4225913 2 18.2112957 Prob > F = 0.0000
Residual | 36.5774093 71 .515174779 R-squared = 0.4989
Total | 73.0000006 73 1.00000001 Root MSE = .71776

------------------------------------------------------------------------------
c_price | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
c_weight | .8750157 .1043141 8.39 0.000 .6670192 1.083012
c_foreign | .5674549 .1043141 5.44 0.000 .3594584 .7754514
_cons | -4.25e-09 .0834375 -0.00 1.000 -.1663697 .1663697
------------------------------------------------------------------------------

-------------------------------------------
Richard Williams, Notre Dame Dept of Sociology
OFFICE: (574)631-6668, (574)631-6463
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EMAIL: Richard.A.Williams.5@ND.Edu
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