A new semiparametric estimator for an empirical asset pricing model with general nonparametric risk-return tradeoff and … efficient, i.e., it achieves the semiparametric lower bound. A sampling experiment provides finite sample comparisons with the … parametric approach and the iterative semiparametric approach with parametric initial estimate of Conrad and Mammen (2008). An …

A new semiparametric estimator for an empirical asset pricing model with general nonparametric risk-return tradeoff and … consistent, asymptotically normal, and efficient, i.e. it achieves the semiparametric lower bound. A sampling experiment provides … evidence on finite sample properties as well as comparisons with the fully parametric approach and the iterative semiparametric …

A semiparametric method is studied for estimating the dependence parameter and the joint distribution of the error term … arguments that would be useful for other potential extensions of this semiparametric approach. It is shown that the proposed … in practice. In this simulation study, our proposed semiparametric method performed better than the well-known parametric …

This paper is concerned with developing a semiparametric panel model to explain the trend in UK temperatures and other …

Semiparametric models are characterized by a finite- and infinite-dimensional (functional) component. As such they … developed that exhibit standard parametric convergence rates. These two features have made semiparametric models and estimators … increasingly popular in applied economics. We give a partial overview over the literature on semiparametric modelling and …

This paper is concerned with developing a semiparametric panel model to explain the trend in UK temperatures and other …