Note: This chapter uses a suite of commands, called spost, written by J. Scott Long and Jeremy Freese. The commands must be downloaded prior to their use, and this can be done by typing search spost on the Stata command line (see How can I use the search command to search for programs and get additional help? for more information about using search).
Table 2.1, page 19.
use https://stats.idre.ucla.edu/stat/stata/examples/long/regjob2, clear
describe
Contains data from use https://stats.idre.ucla.edu/stat/stata/examples/long/regjob2.dta
obs: 408 Academic Biochemists / S Long
vars: 7 15 Jan 2001 15:24
size: 8,568 (99.9% of memory free) (_dta has notes)
-------------------------------------------------------------------------------
storage display value
variable name type format label variable label
-------------------------------------------------------------------------------
job float %9.0g Prestige of first job
fem byte %9.0g sexlbl Gender: 1=female 0=male
phd float %9.0g PhD prestige
ment float %9.0g Citations received by mentor
fel byte %9.0g fellbl Fellow: 1=yes 0=no
art byte %9.0g # of articles published
cit int %9.0g # of citations received
-------------------------------------------------------------------------------
Sorted by: job
sum
Variable | Obs Mean Std. Dev. Min Max
-------------+--------------------------------------------------------
job | 408 2.233431 .9736029 1 4.8
fem | 408 .3897059 .4882823 0 1
phd | 408 3.200564 .9537509 1 4.8
ment | 408 45.47058 65.52988 0 531.9999
fel | 408 .6176471 .4865587 0 1
-------------+--------------------------------------------------------
art | 408 2.276961 2.256143 0 18
cit | 408 21.71569 33.05988 0 203
Table 2.2, page 20.
reg job fem phd ment fel art cit
Source | SS df MS Number of obs = 408
-------------+------------------------------ F( 6, 401) = 17.78
Model | 81.0584763 6 13.5097461 Prob > F = 0.0000
Residual | 304.737915 401 .759944926 R-squared = 0.2101
-------------+------------------------------ Adj R-squared = 0.1983
Total | 385.796392 407 .947902683 Root MSE = .87175
------------------------------------------------------------------------------
job | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
fem | -.1391939 .0902344 -1.54 0.124 -.3165856 .0381977
phd | .2726826 .0493183 5.53 0.000 .1757278 .3696375
ment | .0011867 .0007012 1.69 0.091 -.0001917 .0025651
fel | .2341384 .0948206 2.47 0.014 .0477308 .4205461
art | .0228011 .0288843 0.79 0.430 -.0339824 .0795846
cit | .0044788 .0019687 2.28 0.023 .0006087 .008349
_cons | 1.067184 .1661357 6.42 0.000 .7405785 1.39379
------------------------------------------------------------------------------
listcoef, help /*listcoef part of spostado*/
regress (N=408): Unstandardized and Standardized Estimates
Observed SD: .97360294
SD of Error: .8717482
-------------------------------------------------------------------------------
job | b t P>|t| bStdX bStdY bStdXY SDofX
-------------+-----------------------------------------------------------------
fem | -0.13919 -1.543 0.124 -0.0680 -0.1430 -0.0698 0.4883
phd | 0.27268 5.529 0.000 0.2601 0.2801 0.2671 0.9538
ment | 0.00119 1.692 0.091 0.0778 0.0012 0.0799 65.5299
fel | 0.23414 2.469 0.014 0.1139 0.2405 0.1170 0.4866
art | 0.02280 0.789 0.430 0.0514 0.0234 0.0528 2.2561
cit | 0.00448 2.275 0.023 0.1481 0.0046 0.1521 33.0599
-------------------------------------------------------------------------------
b = raw coefficient
t = t-score for test of b=0
P>|t| = p-value for t-test
bStdX = x-standardized coefficient
bStdY = y-standardized coefficient
bStdXY = fully standardized coefficient
SDofX = standard deviation of X