), where the regression function m(x) is given by m(x) = E(Yi|Xi = x) with one independent variable. In a nonparametric setting … the form of the true density, f(x) of X. We describe an estimation procedure of non-parametric regression model at a given …-Watson and local linear kernel estimators of nonparametric regression with data-driven bandwidths. The sample size was optimized …

approach is entirely nonparametric, using Matzkin-type nonseparable models that nest a large class of potential structural …

This paper studies the nonparametric identification and estimation of voters' preferences when voters are ideological …

establish that the fully nonparametric classical errors-in-variables model is identifiable from data on the regressor and the … error in nonlinear and nonparametric models, opening the way to a novel and practical approach to correct for measurement …