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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Probit yr 2003 – Table 9:<br />
. use /akf/702517/ycb2517/Initial/finaldata3.dta<br />
. /*Including the variable indicating the doses <strong>of</strong> antidep taken last 5 years,<br />
> year 2003*/<br />
. quietly reg c<strong>on</strong>s_antidep mtx wageinc age ab02 ab36 ab79 ab1014 single iel<strong>and</strong>1<br />
> iel<strong>and</strong>2 short higher agesq use<strong>of</strong>medicin u if yr==2003<br />
.<br />
. predict ohat, resid<br />
.<br />
. probit emp c<strong>on</strong>s_antidep mtx wageinc age ab02 ab36 ab79 ab1014 single iel<strong>and</strong>1<br />
> iel<strong>and</strong>2 short higher agesq use<strong>of</strong>medicin u ohat if yr==2003, robust<br />
note: ab02 dropped due to collinearity<br />
Iterati<strong>on</strong> 0: log pseudolikelihood = -402.02192<br />
Iterati<strong>on</strong> 1: log pseudolikelihood = -185.75636<br />
Iterati<strong>on</strong> 2: log pseudolikelihood = -129.61051<br />
Iterati<strong>on</strong> 3: log pseudolikelihood = -115.26218<br />
Iterati<strong>on</strong> 4: log pseudolikelihood = -112.32902<br />
Iterati<strong>on</strong> 5: log pseudolikelihood = -112.12227<br />
Iterati<strong>on</strong> 6: log pseudolikelihood = -112.12104<br />
Probit estimates Number <strong>of</strong> obs = 580<br />
Wald chi2(16) = 163.36<br />
Prob > chi2 = 0.0000<br />
Log pseudolikelihood = -112.12104 Pseudo R2 = 0.7211<br />
------------------------------------------------------------------------------<br />
| Robust<br />
emp | Coef. Std. Err. z P>|z| [95% C<strong>on</strong>f. Interval]<br />
-------------+----------------------------------------------------------------<br />
c<strong>on</strong>s_antidep | -.0076847 .0054205 -1.42 0.156 -.0183087 .0029394<br />
mtx | .0024686 .0016833 1.47 0.143 -.0008306 .0057678<br />
wageinc | .0000172 1.97e-06 8.72 0.000 .0000133 .000021<br />
age | -.0867949 .0574685 -1.51 0.131 -.1994312 .0258414<br />
ab36 | .0929413 .355177 0.26 0.794 -.6031929 .7890756<br />
ab79 | .7896308 .5021054 1.57 0.116 -.1944776 1.773739<br />
ab1014 | .3000002 .2994794 1.00 0.316 -.2869687 .886969<br />
single | .3710854 .3684268 1.01 0.314 -.3510179 1.093189<br />
iel<strong>and</strong>1 | .8610399 .5817527 1.48 0.139 -.2791745 2.001254<br />
iel<strong>and</strong>2 | .8080762 .7046116 1.15 0.251 -.5729371 2.189089<br />
short | .1514142 .2144752 0.71 0.480 -.2689494 .5717779<br />
higher | .2403415 .2621278 0.92 0.359 -.2734195 .7541025<br />
agesq | .0007675 .0006635 1.16 0.247 -.0005329 .0020679<br />
use<strong>of</strong>medicin | .0000883 .0002008 0.44 0.660 -.0003053 .0004819<br />
u | -.280949 .1426478 -1.97 0.049 -.5605336 -.0013645<br />
ohat | .0076396 .0054188 1.41 0.159 -.0029811 .0182602<br />
_c<strong>on</strong>s | 1.720691 1.528157 1.13 0.260 -1.274442 4.715824<br />
------------------------------------------------------------------------------<br />
note: 0 failures <strong>and</strong> 14 successes completely determined.<br />
.<br />
. mfx<br />
134
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