Showing 1 - 10 of 721
We investigate the problem of optimal choice of the smoothing parameter (bandwidth) for the regression discontinuity … simulation study based on this data set. The simulations suggest that the proposed rule performs well. -- Optimal bandwidth …
Persistent link: https://www.econbiz.de/10003809023
distribution is normal under the null hypothesis, and a consistent bootstrap is available to get simulation based critical values …
Persistent link: https://www.econbiz.de/10003550675
Markov chains, evaluate relevance of effects using simultaneous credible intervals and how to use simulation-based inference …
Persistent link: https://www.econbiz.de/10011699413
We investigate the problem of optimal choice of the smoothing parameter (bandwidth) for the regression discontinuity … simulation study based on this data set. The simulations suggest that the proposed rule performs well …
Persistent link: https://www.econbiz.de/10012764682
State price density (SPD) contains important information concerning market expectations. In existing literature, a constrained estimator of the SPD is found by nonlinear least squares in a suitable Sobolev space...
Persistent link: https://www.econbiz.de/10005854964
The term structure of American interest rates is filtered to reduce the influence of cross correlations and auto correlations on its factors. A three-factor model is fitted to the filtered data. Contrary to most studies of the term structure on monthly data, performing statistical tests we...
Persistent link: https://www.econbiz.de/10005858553
Let (X1, Y1), . . ., (Xn, Yn) be i.i.d. rvs and let l(x) be the unknownp-quantile regression curve of Y on X. A quantile-smootherln(x) is a localised, nonlinear estimator of l(x). The strong uniformconsistency rate is established under general conditions. In many applicationsit is necessary to...
Persistent link: https://www.econbiz.de/10005860568
covariates. We assume that the covariates can be estimated consistentlyand use an iterative nonparametric kernel smoothing … nonparametrickernel smoothing of the conditional mean function. An asymptotic theory for the resulting kernelestimator is developed and …
Persistent link: https://www.econbiz.de/10009262199
We consider identification and estimation of nonseparable sample selection models with censored selection rules. We employ a control function approach and discuss different objects of interest based on (1) local effects conditional on the control function, and (2) global effects obtained from...
Persistent link: https://www.econbiz.de/10011941436
The objective of this paper is to compare the performance of two predictive radiological models, logistic regression (LR) and neural network (NN), with five different resampling methods. One hundred and sixty-seven patients with proven calvarial lesions as the only known disease were enrolled....
Persistent link: https://www.econbiz.de/10014173785