  This paper considers nonparametric identification and estimation of the
regression function when a covariate is mismeasured. The measurement error need
not be classical. Employing the small measurement error approximation, we
establish nonparametric identification under weak and easy-to-interpret
conditions on the instrumental variable. The paper also provides nonparametric
estimators of the regression function and derives their rates of convergence.
