  This paper studies identification of the effect of a mis-classified, binary,
endogenous regressor when a discrete-valued instrumental variable is available.
We begin by showing that the only existing point identification result for this
model is incorrect. We go on to derive the sharp identified set under mean
independence assumptions for the instrument and measurement error. The
resulting bounds are novel and informative, but fail to point identify the
effect of interest. This motivates us to consider alternative and slightly
stronger assumptions: we show that adding second and third moment independence
assumptions suffices to identify the model.
