We study the asymptotic distribution of Tikhonov Regularized estimation of quantile structural effects implied by a nonseparable model. The nonparametric instrumental variable estimator is based on a minimum distance principle. We show that the minimum distance problem without regularization is locally ill-posed, and consider penalization by the norms of the parameter and its derivatives. We derive pointwise asymptotic normality and develop a consistent estimator of the asymptotic variance. We study the small sample properties via simulation results, and provice an empirical illustration to estimation of nonlinear pricing curves for telecommunications services in the U.S
There are many environments in econometrics which require nonseparable modeling of a structural dist...
This paper introduces an instrumental variables estimator for the effect of a binary treatment on th...
This paper presents a test for exogeneity of explanatory variables in a nonparametric instrumental v...
We study the asymptotic distribution of Tikhonov regularized estimation of quantile structural effec...
We study Tikhonov Regularized estimation of quantile structural effects implied by a nonseparable mo...
We study a Tikhonov Regularized (TiR) estimator of a functional parameter identified by conditional ...
We consider nonparametric estimation of a regression function that is identified by requiring a spec...
We consider testing for correct specification of a nonparametric instrumental variable regression. I...
International audienceThe focus of this paper is the nonparametric estimation of an instrumental reg...
We consider testing for correct specification of a nonparametric instrumental variable regression. I...
We consider nonparametric estimation of a regression function that is identified by requiring a spec...
This paper concerns a new statistical approach to instrumental variables (IV) method for nonparametr...
We propose a nonparametric method to construct confidence intervals for quantile marginal effects (i...
This paper studies nonparametric estimation of conditional moment restrictions in which the generali...
A Specification Test for Nonparametric Instrumental Variable Regression We consider testing for corr...
There are many environments in econometrics which require nonseparable modeling of a structural dist...
This paper introduces an instrumental variables estimator for the effect of a binary treatment on th...
This paper presents a test for exogeneity of explanatory variables in a nonparametric instrumental v...
We study the asymptotic distribution of Tikhonov regularized estimation of quantile structural effec...
We study Tikhonov Regularized estimation of quantile structural effects implied by a nonseparable mo...
We study a Tikhonov Regularized (TiR) estimator of a functional parameter identified by conditional ...
We consider nonparametric estimation of a regression function that is identified by requiring a spec...
We consider testing for correct specification of a nonparametric instrumental variable regression. I...
International audienceThe focus of this paper is the nonparametric estimation of an instrumental reg...
We consider testing for correct specification of a nonparametric instrumental variable regression. I...
We consider nonparametric estimation of a regression function that is identified by requiring a spec...
This paper concerns a new statistical approach to instrumental variables (IV) method for nonparametr...
We propose a nonparametric method to construct confidence intervals for quantile marginal effects (i...
This paper studies nonparametric estimation of conditional moment restrictions in which the generali...
A Specification Test for Nonparametric Instrumental Variable Regression We consider testing for corr...
There are many environments in econometrics which require nonseparable modeling of a structural dist...
This paper introduces an instrumental variables estimator for the effect of a binary treatment on th...
This paper presents a test for exogeneity of explanatory variables in a nonparametric instrumental v...