20
Stata Technical Bulletin
STB-33
. tab priv vote
I vote
|
priv I |
1 I |
Total |
|
———————————⅛-——— |
— | |
|
0 I |
46 I |
46 |
|
i I |
5 I |
5 |
|
———————————⅛--—— |
— | |
|
Total I |
51 I |
51 |
So, this data is such that we have data on whether a family places at least one child in private school only if they voted
for the property tax. We then ran the nested model using
. eq priv yrs inc
. eq vote inc ptax
. suprob priv vote, nested
Fitting constant only model
Iteration 0: Log Likelihood = -69.21916
Iteration 1: Log Likelihood = -68.746444
Iteration 2: Log Likelihood = -68.745858
(unproductive step attempted)
Iteration 3: Log Likelihood = -68.745858
Fitting full model
Iteration 0: Log Likelihood = -60.842838
Iteration 1: Log Likelihood = -60.627446
Iteration 2: Log Likelihood = -60.620643
Iteration 3: Log Likelihood = -60.620341
Iteration 4: Log Likelihood = -60.620341
Nested probit regression
Number of obs
Model chi2(4)
Prob > chi2
Pseudo R2
80
16.25
0.0027
0.1182
Log Likelihood = -60.6203411
|
— |
I |
Coef. |
Std. Err. |
z |
P>∣z∣ |
[957. Conf. |
— Interval] |
|
— priv |
I |
-.1581264 |
.1649214 |
-0.959 |
0.338 |
-.4813663 |
— .1651136 |
|
inc |
I |
.2524879 |
1.192193 |
0.212 |
0.832 |
-2.084167 |
2.589142 |
|
„cons |
I |
-3.080772 |
12.47335 |
-0.247 |
0.805 |
-27.52809 |
21.36655 |
|
— vote |
I |
1.647283 |
.5560927 |
2.962 |
0.003 |
.5573614 |
— 2.737205 |
|
pt ax |
I |
-1.989771 |
.7197887 |
-2.764 |
0.006 |
-3.400531 |
-.5790112 |
|
„cons |
I |
-2.236327 |
4.041494 |
-0.553 |
0.580 |
-10.15751 |
5.684856 |
|
— rho „cons |
I |
-.1816928 |
1.188396 |
-0.153 |
0.878 |
-2.510905 |
— 2.14752 |
References
Center for Human Resource Research. 1989. National Longitudinal Survey of Labor Market Experience, Young women 14-24 years of age in 1968.
Ohio State University.
Greene, W. H. 1993. Econometric Analysis. 2d ed. New York: Macmillan.
Pindyck, R. and D. Rubinfeld. 1981. Econometric Models and Economic Forecasts. New York: McGraw-Hill.
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