Showing 1 - 5 of 5
We develop non-parametric instrumental variable estimation and inferential theory for econometric models with possibly …
Persistent link: https://www.econbiz.de/10012262677
series and estimation of time varying parameter processes by well-known rolling regression estimation techniques. We … point for further research on numerous open problems including establishing estimation results of time-varying parameters …
Persistent link: https://www.econbiz.de/10011405250
Following Giraitis, Kapetanios, and Yates (2014b), this paper uses kernel methods to estimate a seven variable time-varying (TV) vector autoregressive (VAR) model on the data set constructed by Smets and Wouters (2007). We apply an indirect inference method to map from this TV VAR to time...
Persistent link: https://www.econbiz.de/10011405253
modelling that enables stochastic structural change in model parameters and on model estimation by Bayesian or non …-parametric kernel methods. In the context of the estimation of covariance matrices of large dimensional panels, such data requires … applicable in econometric analysis beyond estimation of large covariance matrices. We discuss the utility of the robust …
Persistent link: https://www.econbiz.de/10012316010
This paper presents a new hierarchical methodology for estimating multi factor dynamic asset pricing models. The approach is loosely based on the sequential approach of Fama and MacBeth (1973). However, the hierarchical method uses very flexible bandwidth selection methods in kernel weighted...
Persistent link: https://www.econbiz.de/10011960113