. stepwise, pe(0.1) lr : tobit z1 (hukou employment age h1 expenditure), ll
LR test begin with empty model
p = 0.0000 < 0.1000 adding hukou employment age h1 expenditure
Tobit regression Number of obs = 335
LR chi2(5) = 107.69
Prob > chi2 = 0.0000
Log likelihood = -182.23042 Pseudo R2 = 0.2281
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z1 | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
hukou | .2062198 .0444247 4.64 0.000 .1188285 .2936111
employment | -.3591655 .062667 -5.73 0.000 -.4824427 -.2358883
age | .0071966 .0018505 3.89 0.000 .0035563 .0108369
h1 | -.0326681 .0116197 -2.81 0.005 -.0555261 -.0098101
expenditure | -.0118128 .0029523 -4.00 0.000 -.0176205 -.0060051
_cons | .4102707 .0928191 4.42 0.000 .227679 .5928623
-------------+----------------------------------------------------------------
/sigma | .3763897 .0163089 .3443072 .4084722
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Obs. summary: 46 left-censored observations at z1<=0
289 uncensored observations
0 right-censored observations