Showing 1 - 10 of 133
This paper studies nonparametric estimation of conditional moment restrictions in which the generalized residual functions can be nonsmooth in the unknown functions of endogenous variables. This is a nonparametric nonlinear instrumental variables (IV) problem. We propose a class of penalized...
Persistent link: https://www.econbiz.de/10013130682
simple weighted bootstrap procedure consistently estimates the limiting distribution of the PSMD theta\hat; (3) the …
Persistent link: https://www.econbiz.de/10012766233
-optimally weighted SQLR statistic; (5) the consistency of the nonparametric bootstrap and the weighted bootstrap (possibly non …
Persistent link: https://www.econbiz.de/10012974315
This paper studies robustness of bootstrap inference methods under moment conditions. In particular, we compare the … uniform weight and implied probability bootstraps by analyzing behaviors of the bootstrap quantiles when outliers take … arbitrarily large values, and derive the breakdown points for those bootstrap quantiles. The breakdown point properties …
Persistent link: https://www.econbiz.de/10014183251
This paper studies nonparametric estimation of conditional moment models in which the generalized residual functions can be nonsmooth in the unknown functions of endogenous variables. This is a nonparametric nonlinear instrumental variables (IV) problem. We propose a class of penalized sieve...
Persistent link: https://www.econbiz.de/10014206204
This paper studies nonparametric estimation of conditional moment models in which the residual functions could be nonsmooth with respect to the unknown functions of endogenous variables. It is a problem of nonparametric nonlinear instrumental variables (IV) estimation, and a difficult nonlinear...
Persistent link: https://www.econbiz.de/10014218576
This paper studies robustness of bootstrap inference methods for instrumental variable regression models. In particular …, we compare the uniform weight and implied probability bootstrap approximations for parameter hypothesis test statistics … by applying the breakdown point theory, which focuses on behaviors of the bootstrap quantiles when outliers take …
Persistent link: https://www.econbiz.de/10013126073
Kernel-based estimators such as local polynomial estimators in regression discontinuity designs are often evaluated at multiple bandwidths as a form of sensitivity analysis. However, if in the reported results, a researcher selects the bandwidth based on this analysis, the associated confidence...
Persistent link: https://www.econbiz.de/10012952734
We consider the problem of constructing honest confidence intervals (CIs) for a scalar parameter of interest, such as the regression discontinuity parameter, in nonparametric regression based on kernel or local polynomial estimators. To ensure that our CIs are honest, we derive novel critical...
Persistent link: https://www.econbiz.de/10012911764
A functional law for an I(1) sample data version of the continuous-path block bootstrap of Paparoditis and Politis … (2001) is given. The results provide an alternative demonstration that continuous-path block bootstrap unit root tests are …
Persistent link: https://www.econbiz.de/10012765275