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st: Outreg2 beta versus OLS beta
The calculation of standardized coefficients using OLS yields one set of beta values in place of the confidence intervals. The Outreg2 command yields somewhat different values even when derived from the stored values of OLS with the beta option. I am using -aweights- so the -listcoef- has not been helpful interpreting why these values are different. I will appreciate someone pointing me in the right direction.
Crude output excerpts of both versions appear below. I suspect more than one way to mathematically calculate the beta exists. I would like to account for the difference for my report.
OLS output below:
(sum of wgt is 1.6146e+06)
Source | SS df MS Number of obs = 494
-------------+------------------------------ F( 5, 488) = 242.80
Model | 7.40264635 5 1.48052927 Prob > F = 0.0000
Residual | 2.97567308 488 .006097691 R-squared = 0.7133
-------------+------------------------------ Adj R-squared = 0.7103
Total | 10.3783194 493 .021051358 Root MSE = .07809
------------------------------------------------------------------------------
math_gr4_sat | Coef. Std. Err. t P>|t| Beta
-------------+----------------------------------------------------------------
pctenroll | -.5591852 .0264636 -21.13 0.000 -.8517075
avg_t_sal | -1.28e-06 1.06e-06 -1.21 0.228 -.052005
avg_p_tchr | -.0016222 .0023813 -0.68 0.496 -.0235394
avg_isal | .0000865 .0000179 4.83 0.000 .3138468
avg_totexp~r | -.0000303 7.37e-06 -4.12 0.000 -.2350954
_cons | .7822626 .0566968 13.80 0.000 .
------------------------------------------------------------------------------
(1)
COEFFICIENT SY2002
math_gr4_sat
pctenroll -0.559***
(-0.73)
avg_t_sal -0.00000128
(-0.060)
avg_p_tchr -0.00162
(-0.026)
avg_isal 0.0000865***
(0.31)
avg_totexp_ntr -0.0000303***
(-0.21)
Constant 0.782***
(5.97)
Observations 494
R-squared 0.71
Normalized beta coefficients in parentheses
*** p<0.01, ** p<0.05, * p<0.1
*
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