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My endogenous variable is not a time depending variable but percentages
which naturally are censored in the interval [0,100]. Unfortunately many
data points are 0 or 100 exactly. The rest of the data is asymmetrically
distributed. So I would like to apply a two-limit tobit, regressing the
percentage
(endogenous variable) on several explanatory variables.
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Censoring is a limit in the observation process: right censored at 100 means
that "the true y value is > 100, but we did not observe the exact value". You
have binomial data with 0 <= y <= 100, which is not a constraint on the
observation process.
You should be using glm with a binomial family.
Terry T
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