An Analysis on Danish Micro Data - School of Economics and ...
An Analysis on Danish Micro Data - School of Economics and ...
An Analysis on Danish Micro Data - School of Economics and ...
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note: 0 failures <strong>and</strong> 14 successes completely determined.<br />
.<br />
. lrtest A ., force<br />
likelihood-ratio test LR chi2(1) = 0.04<br />
(Assumpti<strong>on</strong>: . nested in A) Prob > chi2 = 0.8504<br />
.<br />
. mfx<br />
Marginal effects after probit<br />
y = Pr(emp) (predict)<br />
= .7732281<br />
------------------------------------------------------------------------------<br />
variable | dy/dx Std. Err. z P>|z| [ 95% C.I. ] X<br />
---------+--------------------------------------------------------------------<br />
antide~s | .0015806 .02448 0.06 0.949 -.046405 .049566 .308621<br />
mtx | .000188 .00027 0.71 0.479 -.000332 .000708 220.258<br />
wageinc | 5.61e-06 .00000 14.35 0.000 4.8e-06 6.4e-06 115135<br />
age | -.0142645 .01515 -0.94 0.346 -.043955 .015426 49.9776<br />
ab02*| .1384481 .07481 1.85 0.064 -.008185 .285081 .031034<br />
ab36*| -.0300625 .11208 -0.27 0.789 -.249736 .189611 .063793<br />
ab79*| .0701041 .07587 0.92 0.356 -.078605 .218814 .067241<br />
ab1014*| .0316034 .0737 0.43 0.668 -.112843 .17605 .136207<br />
single*| -.0185766 .0653 -0.28 0.776 -.14657 .109417 .255172<br />
iel<strong>and</strong>1*| .1257292 .16607 0.76 0.449 -.199762 .45122 .960345<br />
iel<strong>and</strong>2*| .1796732 .08664 2.07 0.038 .009853 .349493 .018966<br />
short*| .0545338 .06167 0.88 0.377 -.066347 .175414 .4<br />
higher*| .004738 .0645 0.07 0.941 -.121684 .13116 .174138<br />
agesq | .0000937 .00017 0.55 0.582 -.00024 .000427 2610.34<br />
use<strong>of</strong>m~n | -.0000432 .00003 -1.27 0.204 -.00011 .000023 866.898<br />
u | -.0319425 .02065 -1.55 0.122 -.072423 .008538 6.07914<br />
------------------------------------------------------------------------------<br />
(*) dy/dx is for discrete change <strong>of</strong> dummy variable from 0 to 1<br />
Pooled probit – Table 8:<br />
. use /akf/702517/ycb2517/Initial/finaldata3.dta<br />
. /*Including the variable indicating how many years antidep are taken, pooled<br />
> probit*/<br />
. quietly reg antidep_last5yrs mtx wageinc age ab02 ab36 ab79 ab1014 single iel<br />
> <strong>and</strong>1 iel<strong>and</strong>2 short higher agesq use<strong>of</strong>medicin u y96 y97 y98 y99 y00 y01 y02 y0<br />
> 3<br />
.<br />
. predict xb, xb<br />
. gen normxb=norm(xb)<br />
. gen normdenxb=normden(xb)<br />
. gen denominator=normxb*[1-normxb]<br />
. gen numerator=normdenxb*[ad_dummy-normxb]<br />
. gen res=numerator/denominator<br />
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