In this paper we develop a joint non-parametric approach to the problem of the decomposition of bond yields and CDS spreads. The proposed approach is essentially an infinite-dimensional modification of the Heath-Jarrow-Morton framework and is general enough to capture even very non-trivial...

Most econometric analyses of patent data rely on regression methods using a parametric form of the predictor for modeling the dependence of the response given certain covariates. These methods often lack the capability of identifying non-linear relationships between dependent and independent...

In this paper a semiparametric stochastic metafrontier approach is used to obtain insight into firmlevel competitiveness in Europe. We differ from standard TFP studies at the firm level as we simultaneously allow for inefficiency, noise and do not impose a functional form on the input-output...

Most econometric analyses of patent data rely on regression methods using a parametric form of the predictor for modeling the dependence of the response in focus on given covariates. These methods often lack the capability of identifying non-linear relationships between dependent and independent...

This study updates the annual comparative analysis of the performance and structures of the German science system. We use several bibliometric indicators of productivity and academic impact to assess Germany's performance for the period 1995-2020 compared against 22 countries and the EU13, EU14,...