Closed-form estimation of a regression model with a mismeasured binary regressor and heteroskedasticity

This paper finds that heteroskedasticity in nonclassical error-in-variable models leads to biased and inconsistent estimates when higher-order moments of data are used. A closed-form estimator is provided to correct this bias based on information from the first three moments.