2. Dave Giles griping about linear probability models:
It's not the bias that worries me in this particular context - it's the inconsistency. After all, the MLE's for the Logit and Probit models are also biased in finite samples - but they're consistent. Given the sample sizes that we usually work with when modelling binary data, it's consistency and asymptotic efficiency that are of primary importance.
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