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svy: regress lnhourlyw_w c.age c.age#c.age c.age#c.age#c.age#c.tento4 c.age#i.is051 > c.age#c.age#i.is051 c.age#c.age#c.age#i.is051#c.tento4 i.arvpre1980 i.arv1980 i.ar > v1985 i.arv1990 i.arv1995 i.arv2000 if year==2004 (running regress on estimation sample) Survey: Linear regression Number of strata = 1 Number of obs = 10,726 Number of PSUs = 10,726 Population size = 1,317,293 Design df = 10,725 F( 12, 10714) = 244.61 Prob > F = 0.0000 R-squared = 0.2189 Linearized lnhourlyw_w Coef. Std. Err. t P>t [95% Conf. Interval] age .1339664 .0152074 8.81 0.000 .1041572 .1637757 c.age#c.age -.0022769 .0004 -5.69 0.000 -.0030609 -.001493 c.age#c.age#c.age# c.tento4 .1261596 .0333069 3.79 0.000 .0608718 .1914473 is051#c.age foreign .1088956 .0338962 3.21 0.001 .0424528 .1753384 is051#c.age#c.age foreign -.0024298 .0008359 -2.91 0.004 -.0040683 -.0007913 is051#c.age#c.age# c.age#c.tento4 foreign .1797599 .0657532 2.73 0.006 .0508714 .3086484 1.arvpre1980 .2623956 .0966542 2.71 0.007 .0729355 .4518557 1.arv1980 .2941179 .0927958 3.17 0.002 .112221 .4760148 1.arv1985 .2821505 .087123 3.24 0.001 .1113733 .4529277 1.arv1990 .2810173 .0846227 3.32 0.001 .1151412 .4468933 1.arv1995 .4809988 .0861537 5.58 0.000 .3121216 .649876 1.arv2000 .6242478 .0946557 6.59 0.000 .438705 .8097905 _cons -.9649148 .4808887 -2.01 0.045 -1.907546 -.022284
margins arvpre1980 arv1980 arv1985 arv1990 arv1995 arv2000, at(age = (40)) pwcompare Pairwise comparisons of predictive margins Number of strata = 1 Subpop. no. obs = 10,725 Subpop. size = . Design df = 10,725 Model VCE : Linearized Expression : Linear prediction, predict() at : age = 40 Delta-method Unadjusted Contrast Std. Err. [95% Conf. Interval] arvpre1980 1 vs 0 .2623956 .0966542 .0729355 .4518557 arv1980 1 vs 0 .2941179 .0927958 .112221 .4760148 arv1985 1 vs 0 .2821505 .087123 .1113733 .4529277 arv1990 1 vs 0 .2810173 .0846227 .1151412 .4468933 arv1995 1 vs 0 .4809988 .0861537 .3121216 .649876 arv2000 1 vs 0 .6242478 .0946557 .438705 .8097905
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