Estimation …

We introduce a new method for the estimation of discount functions, yield curves and forward curves from government … although we do show how to impose various restrictions in the estimation. Our method is based on Kernel smoothing and is … our estimation procedure is iterative, rather like the backfitting method of estimating non-parametric models. We …

We propose marginal integration estimation and testing methods for the coefficients of varying coefficient multivariate … regression model. Asymptotic distribution theory is developed for the estimation method which enjoys the same rate of convergence … as univariate function estimation. For the test statistic, asymptotic normal theory is established. These theoretical …

Background: Studies from several countries have shown that self-rated health is an independent predictor of mortality …. However, no empirical evidence exists for Germany so far. We investigate the effectiveness of (i) self-ratings of health by … individuals and (ii) changes in self-rated health, as predictors of mortality for Germany. Methods: A sub-sample of 3 …

We consider a problem of estimation of parametric components in a partial linear model. Suppose that a finite set E of … parameters based on the principle of unbiased risk estimation. -- Partial linear model ; second order minimax risk ; adaptive … estimation …