Dear hyojoung,
I just remembered that in a linear probability model the errors are
always hetroscedastic. So doing a hettest after an OLS regression
should always give you evidence that there is heteroscadasticity,
regardless of whether or not that is also the case in logistic
regression. See for instance (Long 1997, p. 38-39).
J. Scott Long, 1997, Regression Models for Categorical and Limited
Dependent Variables. Sage. (This is not the Long and Freese book wich
is often referd to on this list, since the Long and Freese book does
not discuss the linear probability model)
Maarten
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