In this paper, we extend the density-weighted average derivative estimation of Powell et al. to allow for measurement error without relying on the existence of instrumental variables as in Lewbel . This is made possible by using the deconvolution technique of Stefanski and Carroll and Fan The proposed estimator is shown to be asymptotically normally distributed and converges at the parametric rate n^-(1/2), where n is the sample size.