Consider a linear probability model under the Gauss-Markov assumptions without assuming homoskedasticity. This is sufficient to identify a causal effect in the model. True False A problem of the...

Consider a linear probability model under the Gauss-Markov assumptions without
assuming homoskedasticity. This is sufficient to identify a causal effect in the model.
True
False

A problem of the linear probability model is that an OLS estimation of it can generate
fitted values that are negative or greater than one.
True
False

And both.. otherwise don't ans