Econometria

TAREA ECONOMETRÍA iii
Virginia Garza Villicaña
Matrícula 1537211
31/10/2012

Comandos en STATA
. logit TREAT AGE AGESQ EDUC EDUCSQ MARR NODEGREE BLACK HISP RE74 RE75 RE74SQ RE75SQ U74BLACKIteration 0: log likelihood = -672.64954
Iteration 1: log likelihood = -499.56574
Iteration 2: log likelihood = -318.55053
Iteration 3: log likelihood = -234.5731
Iteration 4:log likelihood = -230.60331
Iteration 5: log likelihood = -217.05552
Iteration 6: log likelihood = -206.79617
Iteration 7: log likelihood = -205.85539
Iteration 8: log likelihood =-204.97812
Iteration 9: log likelihood = -204.93117
Iteration 10: log likelihood = -204.92952
Iteration 11: log likelihood = -204.9295

. predict pscore
(option pr assumed;Pr(TREAT))
. sum pscore if TREAT==1
Variable | Obs Mean Std. Dev. Min Max
-------------+--------------------------------------------------------
pscore | 185.6876512 .3095136 .0006526 .9748755

. scalar PSMIN= r(min)
. scalar PSMAX= r(max)
. sum pscore if TREAT==0
Variable | Obs Mean Std. Dev. Min Max-------------+--------------------------------------------------------
pscore | 2490 .0232066 .0901373 4.49e-11 .9735255

. scalar PcMIN= r(min)
. scalar PcMAX= r(max)
. drop ifpscore<PSMIN
(1344 observations deleted)
. drop if pscore>PcMAX
(6 observations deleted)

. sum pscore

Variable | Obs Mean Std. Dev. Min Max-------------+--------------------------------------------------------
pscore | 1325 .1350934 .2703797 .0006526 .9735255

global cut1=0.1987291
. global cut2=0.3499329
. globalcut3=0.5147845
. global cut4=0.62961856
. global cut5=0.8160544
. global cut6=0.9277495
. global cut7=0.95056
. global cut8=0.9565
. global cut9=0.96605
gen STRATO=1

. replace STRATO=2 if...