Hello. The tobit model appears to incorrectly interpret left-censored observations as right-censored. The coefficients seem correct, but (I think) because of this I cannot cluster my standard errors.
> data(tobin)
> zelig(durable ~ age, model= 'tobit',data=tobin)
How to cite this model in Zelig:
Christian Kleiber and Achim Zeileis. 2011.
tobit: Linear regression for Left-Censored Dependent Variable
in Christine Choirat, Christopher Gandrud, James Honaker, Kosuke Imai, Gary King, and Olivia Lau,
"Zelig: Everyone's Statistical Software," http://zeligproject.org/
Model:
Call:
z5$zelig(formula = durable ~ age, data = tobin)
Observations:
Total Left-censored Uncensored Right-censored
20 0 7 13
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 5.4969 10.7919 0.509 0.611
age -0.1630 0.2312 -0.705 0.481
Log(scale) 1.7737 0.3081 5.758 8.52e-09
Scale: 5.893
Gaussian distribution
Number of Newton-Raphson Iterations: 3
Log-likelihood: -29.23 on 3 Df
Wald-statistic: 0.497 on 1 Df, p-value: 0.48082
Hello. The tobit model appears to incorrectly interpret left-censored observations as right-censored. The coefficients seem correct, but (I think) because of this I cannot cluster my standard errors.
Is there anything I can do to fix this?