Code:
. svy: regress lnhourlyw c.educ c.exper c.exper#c.exper i.ib2.em02 i.ib2.bgu1 i.b
> 017 i.immigrant i.immigrant#c.ysm i.immigrant#c.ysm#c.ysm i.year
(running regress on estimation sample)
Survey: Linear regression
Number of strata = 1 Number of obs = 120,875
Number of PSUs = 120,875 Population size = 14,718,062
Design df = 120,874
F( 21, 120854) = 3530.20
Prob > F = 0.0000
R-squared = 0.4754
--------------------------------------------------------------------------------
| Linearized
lnhourlyw | Coef. Std. Err. t P>|t| [95% Conf. Interval]
---------------+----------------------------------------------------------------
educ | .0632044 .0003949 160.05 0.000 .0624304 .0639785
exper | .0357629 .0004329 82.62 0.000 .0349145 .0366113
|
c.exper#|
c.exper | -.0005102 8.63e-06 -59.09 0.000 -.0005271 -.0004933
|
em02 |
1-19 | -.0746067 .002862 -26.07 0.000 -.0802162 -.0689972
100 or more | .076627 .0025719 29.79 0.000 .0715862 .0816678
|
bgu1 |
no supervis.. | -.0894801 .0023106 -38.73 0.000 -.0940088 -.0849515
executive m.. | .14258 .0035159 40.55 0.000 .1356889 .1494712
|
b017 |
higheco | .0615848 .0025705 23.96 0.000 .0565467 .066623
|
immigrant |
foreign | -.0837934 .0051853 -16.16 0.000 -.0939564 -.0736303
|
immigrant#|
c.ysm |
native | 0 (omitted)
foreign | -.0106163 .0006566 -16.17 0.000 -.0119031 -.0093295
|
immigrant#|
c.ysm#c.ysm |
native | 0 (omitted)
foreign | .0002425 .0000167 14.49 0.000 .0002098 .0002753
|
year |
2005 | .0085027 .0050942 1.67 0.095 -.0014819 .0184873
2006 | .0089234 .0053721 1.66 0.097 -.0016059 .0194527
2007 | .0227152 .0054473 4.17 0.000 .0120385 .0333919
2008 | .0357659 .0055571 6.44 0.000 .024874 .0466579
2009 | .0445801 .0054383 8.20 0.000 .0339211 .055239
2010 | .0404299 .0047779 8.46 0.000 .0310654 .0497944
2011 | .0501135 .0046862 10.69 0.000 .0409287 .0592984
2012 | .0564489 .004543 12.43 0.000 .0475447 .0653531
2013 | .0598773 .0045868 13.05 0.000 .0508872 .0688674
2014 | .0624139 .0047666 13.09 0.000 .0530714 .0717564
|
_cons | 2.471768 .0075186 328.75 0.000 2.457031 2.486504
-------------------------------------------------------------------------------
Code:
. margins, dydx(immigrant) at(ysm=(10.96))
Average marginal effects Number of obs = 120,875
Model VCE : Linearized
Expression : Linear prediction, predict()
dy/dx w.r.t. : 1.immigrant
at : ysm = 10.96
------------------------------------------------------------------------------
| Delta-method
| dy/dx Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
immigrant |
foreign | . (not estimable)
------------------------------------------------------------------------------
Note: dy/dx for factor levels is the discrete change from the base level.
0 Response to margins not estimable
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