Showing 1 - 10 of 203
censored population. We then correct the derivative for the effects of the selection bias. We propose nonparametric and …
Persistent link: https://www.econbiz.de/10014216569
censored population. We then correct the derivative for the effects of the selection bias. We discuss nonparametric and …
Persistent link: https://www.econbiz.de/10013125741
This paper considers estimation of semi-nonparametric GARCH filtered copula models in which the individual time series … were directly observed. These nice properties lead to simple and more accurate estimation of Value-at-Risk (VaR) for …
Persistent link: https://www.econbiz.de/10012857717
This paper proposes a novel positive nonparametric estimator of the conditional variance function without reliance on logarithmic or other transformations. The estimator is based on an empirical likelihood modification of conventional local level nonparametric regression applied to squared mean...
Persistent link: https://www.econbiz.de/10014049786
We propose nonparametric definitions of absolute and comparative naivete. These definitions leverage ex-ante choice of menu to identify predictions of future behavior and ex-post (random) choices from menus to identify actual behavior. The main advantage of our definitions is their...
Persistent link: https://www.econbiz.de/10012907429
Conventional economics supposes that agents value the present vs. the future using an exponential discounting function. In contrast, experiments with animals and humans suggest that agents are better described as hyperbolic discounters, whose discount function decays much more slowly at large...
Persistent link: https://www.econbiz.de/10013157111
discretization bias and its relationship to estimation bias in both multivariate and in univariate settings. In the univariate … and bias formulae are obtained for estimates of the mean reversion parameter. Explicit expressions are given for the … bias and variance for the Vasicek process. The bias and the variance of the Euler method are found to be smaller than the …
Persistent link: https://www.econbiz.de/10013093983
We provide methods for inference on a finite dimensional parameter of interest, theta in Re^{d_theta}, in a semiparametric probability model when an infinite dimensional nuisance parameter, g, is present. We depart from the semiparametric literature in that we do not require that the pair...
Persistent link: https://www.econbiz.de/10014175416
This paper considers random coefficients binary choice models. The main goal is to estimate the density of the random coefficients nonparametrically. This is an ill-posed inverse problem characterized by an integral transform. A new density estimator for the random coefficients is developed,...
Persistent link: https://www.econbiz.de/10014204704
This paper studies nonparametric estimation of conditional moment models in which the residual functions could be … variables (IV) estimation, and a difficult nonlinear ill-posed inverse problem with an unknown operator. We first propose a … a simulation study and an empirical estimation of a system of nonparametric quantile IV Engel curves …
Persistent link: https://www.econbiz.de/10014218576