Tobit regression Number of obs = 261
LR chi2(5) = 119.86
Prob > chi2 = 0.0000
Log likelihood = 61.990892 Pseudo R2 = -29.0654
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y | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
x1 | -1.062797 .1832687 -5.80 0.000 -1.423704 -.7018912
x2 | .4705282 .2063138 2.28 0.023 .0642399 .8768166
x3 | .0722866 .0648276 1.12 0.266 -.0553766 .1999498
x4 | 3.683328 .6694105 5.50 0.000 2.365075 5.001581
x5 | 6.96e-06 1.22e-06 5.72 0.000 4.56e-06 9.36e-06
_cons | .4614259 .0935299 4.93 0.000 .2772399 .6456119
-------------+----------------------------------------------------------------
/sigma | .1889661 .0083132 .1725951 .2053371
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Obs. summary: 2 left-censored observations at y<=.1
259 uncensored observations
0 right-censored observations
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