This paper employs classical bivariate, factor augmented (FA), slab and spike variable selection (SSVS)-based, and Bayesian semiparametric shrinkage (BSS)-based predictive regression models to forecast the US real private residential fixed investment series over an out of sample period of 1983Q1...

This paper applies a time-varying parameter vector autoregressive (TVP-VAR) approach to estimate the relative effects of housing and stock prices on US consumption over time. We use annual data from 1890 to 2012 and find that over different horizons and over time, generally the housing price...

This paper applies a time-varying parameter vector autoregressive (TVP-VAR) approach to estimate the relative effects of housing and stock prices on US consumption over time. We use annual data from 1890 to 2012 and find that over different horizons and over time, generally the housing price...

This study assesses how fiscal policy affects the dynamics of asset markets, using Bayesian vector autoregressive models. We use sign restrictions to identify government revenue and government spending shocks, while controlling for generic business cycle and monetary policy shocks. In addition...

This study assesses how fiscal policy affects the dynamics of asset markets, using Bayesian vector autoregressive models. We use sign restrictions to identify government revenue and government spending shocks, while controlling for generic business cycle and monetary policy shocks. In addition...

This paper employs classical bivariate, factor augmented (FA), slab-and-spike variable selection (SSVS)-based, and Bayesian semi-parametric shrinkage (BSS)-based predictive regression models to forecast US real private residential fixed investment over an out-ofsample period from 1983:Q1 to...

This paper applies a time-varying parameter vector autoregressive (TVP-VAR) approach to estimate the relative effects of housing and stock prices on US consumption over time. We use annual data from 1890 to 2012 and find that over different horizons and over time, generally the housing price...

This study assesses how fiscal policy affects the dynamics of asset markets, using Bayesian vector autoregressive models. We use sign restrictions to identify government revenue and government spending shocks, while controlling for generic business cycle and monetary policy shocks. In addition...

This paper employs classical bivariate, factor augmented (FA), slab-and-spike variable selection (SSVS)-based, and Bayesian semi-parametric shrinkage (BSS)-based predictive regression models to forecast US real private residential fixed investment over an out-of-sample period from 1983:Q1 to...