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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