You have data on a sample of women of childbearing age in Botswana, which you want to use to study what affects the decision of having children. For each woman in the sample, you observe the binary variable child for whether they have children, years of education (educ), age in years (age), an indicator for living in a urban area (urban), an indicator for presence of electricity in the house (electric), and an indicator for ever being married (evermarr). You run the following two Probit regressions in Stata: • probit child c.age##c.age educ i.urban i.electric i.evermarr, nolog Probit regression Number of ebs 4.358

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QUESTION 4
You have data on a sample of women of childbearing age in Botswana, which you want to use to
study what affects the decision of having children. For each woman in the sample, you observe
the binary variable child for whether they have children, years of education (educ), age in years
(age), an indicator for living in a urban area (urban), an indicator for presence of electricity in
the house (electric), and an indicator for ever being married (evermarr). You run the following
two Probit regressions in Stata:
• probit child c.age##c.age educ i.urban i.electric i.evermarr, nolog
Probit regression
Number of obs
4,358
LR chi2(6)
1981.05
Prob > chi2
Pseudo R2
0.0000
Log likelihood = -1505.7243
0.3968
child |
Coef.
Std. Err.
P>|z|
(95% Conf. Interval]
age |
.498523
.021328
23.37
0.000
.4567208
.5403252
c.age#c.age |
-.0068284
.0003493
-19.55
0.000
-.0075129
-.0061438
educ I
-.0157116
.0076358
-2.06
0.040
-.0306775
-.0007457
-.16576
-.3189878
.0453264
-.0118135
1.urban |
-.0602168
.0538495
-1.12
0.263
1.electric |
-.1654007
.0783622
-2.11
0.035
1.evermarr |
.3586488
.0626046
5.73
0.000
.2359461
.4813515
_cons |
-7.106355
.2972466
-23.91
0.000
-7.688948
-6.523763
• probit child educ i.urban i.electric i.evermarr, nolog
Probit regression
Number of obs
4,358
LR chi2(4)
841.60
Prob
chi2
0.0000
Log likelihood =
-2075.45
Pseudo R2
0.1686
child I
Coef.
Std. Err.
P>|z|
[95% Conf. Interval]
educ |
-.0496809
.0063896
-7.78
0.000
-.0622044
.0371574
1. urban |
1.electric I
-.0670348
.0468442
-1.43
0.152
-.1588479
.0247782
.0341736
.0682229
0.50
0.616
-.0995409
.1678881
1. evermarr |
1.196584
.0498832
23.99
0.000
1.098815
1.294353
cons|
.5463433
.051708
10.57
0.000
.4449974
.6476891
The Likelihood Ratio Test statistic to test the null hypothesis that age has no effect on the
probability of having children is
O LR = -1505.7243 - 2075.45 = -3581.1743
O LR = 2 x (-1505.7243 + 2075.45) = 1139.4514
O LR = -1505.7243 + 2075.45 = 569.7257
O LR = 2 x (-1505.7243 - 2075.45) =-7162.3486
Transcribed Image Text:QUESTION 4 You have data on a sample of women of childbearing age in Botswana, which you want to use to study what affects the decision of having children. For each woman in the sample, you observe the binary variable child for whether they have children, years of education (educ), age in years (age), an indicator for living in a urban area (urban), an indicator for presence of electricity in the house (electric), and an indicator for ever being married (evermarr). You run the following two Probit regressions in Stata: • probit child c.age##c.age educ i.urban i.electric i.evermarr, nolog Probit regression Number of obs 4,358 LR chi2(6) 1981.05 Prob > chi2 Pseudo R2 0.0000 Log likelihood = -1505.7243 0.3968 child | Coef. Std. Err. P>|z| (95% Conf. Interval] age | .498523 .021328 23.37 0.000 .4567208 .5403252 c.age#c.age | -.0068284 .0003493 -19.55 0.000 -.0075129 -.0061438 educ I -.0157116 .0076358 -2.06 0.040 -.0306775 -.0007457 -.16576 -.3189878 .0453264 -.0118135 1.urban | -.0602168 .0538495 -1.12 0.263 1.electric | -.1654007 .0783622 -2.11 0.035 1.evermarr | .3586488 .0626046 5.73 0.000 .2359461 .4813515 _cons | -7.106355 .2972466 -23.91 0.000 -7.688948 -6.523763 • probit child educ i.urban i.electric i.evermarr, nolog Probit regression Number of obs 4,358 LR chi2(4) 841.60 Prob chi2 0.0000 Log likelihood = -2075.45 Pseudo R2 0.1686 child I Coef. Std. Err. P>|z| [95% Conf. Interval] educ | -.0496809 .0063896 -7.78 0.000 -.0622044 .0371574 1. urban | 1.electric I -.0670348 .0468442 -1.43 0.152 -.1588479 .0247782 .0341736 .0682229 0.50 0.616 -.0995409 .1678881 1. evermarr | 1.196584 .0498832 23.99 0.000 1.098815 1.294353 cons| .5463433 .051708 10.57 0.000 .4449974 .6476891 The Likelihood Ratio Test statistic to test the null hypothesis that age has no effect on the probability of having children is O LR = -1505.7243 - 2075.45 = -3581.1743 O LR = 2 x (-1505.7243 + 2075.45) = 1139.4514 O LR = -1505.7243 + 2075.45 = 569.7257 O LR = 2 x (-1505.7243 - 2075.45) =-7162.3486
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