Showing 1 - 10 of 10
This paper makes several important contributions to the literature about non- parametric instrumental variables (NPIV ) estimation and inference on a structural function h 0 and functionals of h 0 .First,wederivesup-normconvergence rates for computationally simple sieve NPIV (series two-stage...
Persistent link: https://www.econbiz.de/10011884399
Persistent link: https://www.econbiz.de/10010199075
We study the problem of nonparametric regression when the regressor is endogenous, which is an important nonparametric … instrumental variables (NPIV) regression in econometrics and a difficult ill-posed inverse problem with unknown operator in … spline and wavelet least squares regression estimators under weakly dependent data and heavy-tailed error terms. This upper …
Persistent link: https://www.econbiz.de/10010197046
Persistent link: https://www.econbiz.de/10003723184
Persistent link: https://www.econbiz.de/10003724260
coincide with the known minimax optimal rates for the nonparametric mean IV regression. We illustrate the theory by two … nonparametric nonlinear IV regression, and the convergence rate of a nonparametric additive quantile IV regression. We also present … nonparametric nonlinear IV regression ; nonparametric additive quantile IV regression …
Persistent link: https://www.econbiz.de/10003739667
Persistent link: https://www.econbiz.de/10003540221
Persistent link: https://www.econbiz.de/10012304541
This paper makes several important contributions to the literature about nonparametric instrumental variables (NPIV) estimation and inference on a structural function h0 and its functionals. First, we derive sup-norm convergence rates for computationally simple sieve NPIV (series 2SLS)...
Persistent link: https://www.econbiz.de/10011596624
We study the problem of nonparametric regression when the regressor is endogenous, which is an important nonparametric … instrumental variables (NPIV) regression in econometrics and a difficult ill-posed inverse problem with unknown operator in … spline and wavelet least squares regression estimators under weakly dependent data and heavy-tailed error terms. This upper …
Persistent link: https://www.econbiz.de/10013073448