Stata Kernel DemoΒΆ
Publishing in a jupyter-book from an ipynb notebook with stata_kernel
sysuse auto
(1978 automobile data)
sum
Variable | Obs Mean Std. dev. Min Max
-------------+---------------------------------------------------------
make | 0
price | 74 6165.257 2949.496 3291 15906
mpg | 74 21.2973 5.785503 12 41
rep78 | 69 3.405797 .9899323 1 5
headroom | 74 2.993243 .8459948 1.5 5
-------------+---------------------------------------------------------
trunk | 74 13.75676 4.277404 5 23
weight | 74 3019.459 777.1936 1760 4840
length | 74 187.9324 22.26634 142 233
turn | 74 39.64865 4.399354 31 51
displacement | 74 197.2973 91.83722 79 425
-------------+---------------------------------------------------------
gear_ratio | 74 3.014865 .4562871 2.19 3.89
foreign | 74 .2972973 .4601885 0 1
bstrap: reg price mpg trunk
(running regress on estimation sample)
Bootstrap replications (50)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5
.................................................. 50
Linear regression Number of obs = 74
Replications = 50
Wald chi2(2) = 20.14
Prob > chi2 = 0.0000
R-squared = 0.2222
Adj R-squared = 0.2003
Root MSE = 2637.5910
------------------------------------------------------------------------------
| Observed Bootstrap Normal-based
price | coefficient std. err. z P>|z| [95% conf. interval]
-------------+----------------------------------------------------------------
mpg | -220.1649 77.9294 -2.83 0.005 -372.9037 -67.42607
trunk | 43.55851 80.76242 0.54 0.590 -114.7329 201.8499
_cons | 10254.95 2692.185 3.81 0.000 4978.363 15531.54
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