Showing 1 - 10 of 37
nonparametric instrumental variable estimator is based on a minimum distance principle. We show that the minimum distance problem …
Persistent link: https://www.econbiz.de/10005857742
In this paper, we investigate the information content of implied probabilities (Back and Brown, 1993) to improve estimation in unconditional moment conditions models. We propose and evaluate two 3-step euclidian empirical likelihood estimators and their bias-correction versions for weakly...
Persistent link: https://www.econbiz.de/10005857757
We consider asymmetric kernel density estimators and smoothed histogramswhen the unknown probability density function f is defined on [0, +∞). Uniform weak consistency on each compact set in [0, +∞) is proved for these estimators when "f" is continuous on its support. Weak convergence in L...
Persistent link: https://www.econbiz.de/10005858092
We consider testing for correct specification of a nonparametric instrumental variable regression. In this ill …
Persistent link: https://www.econbiz.de/10005858205
This paper focuses on the robust Effcient Method of Moments (EMM) estimation of a general parametric stationary process and proposes a broad framework for constructing robust EMM statistics in this context. This extends the application field of robust statistics to very general time series...
Persistent link: https://www.econbiz.de/10005858309
We develop a tailor made semiparametric asymmetric kernel density estimator for the estimation of actuarial loss … superior estimation properties in the tails. We find in a vast simulation study that the proposed semiparametric estimation …
Persistent link: https://www.econbiz.de/10005858339
minimum distance principle for nonparametric conditional moment restrictions. The estimator is computationally tractable and … application to nonparametric estimation of an Engel curve. …
Persistent link: https://www.econbiz.de/10005858341
We propose a simple class of semiparametric multivariate GARCH models, allowing for asymmetric volatilities and time …
Persistent link: https://www.econbiz.de/10005858366
provide a unifying framework which contains assymmetric kernel versions of several semiparametric density estimators … considered previously in the literature. This framework allows us to use popular parametric models in a nonparametric fashion and …
Persistent link: https://www.econbiz.de/10005858393
rate can be nonparametric for the risk premium parameters. We derive the kernel nonparametric efficiency bounds for …
Persistent link: https://www.econbiz.de/10005858515