This paper proposes a parsimoniously time varying parameter vector autoregressive model (with exogenous variables, VARX) and studies the properties of the Lasso and adaptive Lasso as estimators of this model. The parameters of the model are assumed to follow parsimonious random walks, where...

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...

Building upon the insight that M1 velocity is the permanent component of nominal interest rates - see Benati (2020) - I propose a novel, and straightforward approach to estimating the natural rate of interest, which is conceptually related to Cochrane's (1994) proposal to estimate the permanent...