We propose a new Bayesian heteroskedastic Markov-switching structural vector autoregression with data-driven time-varying identification. The model selects alternative exclusion restrictions over time and, as a condition for the search, allows to verify identification through heteroskedasticity...

Recessions and expansions are often caused or reinforced by developments in private consumption - the largest component of aggregate demand - which, as a result, varies over the business cycle. As such, an accurate measurement of the cyclical component of consumption and an understanding of its...

We investigate whether US households possess advance information about their future income and what this means for consumption insurance. Based on insights from a theoretical model, we propose a new test to detect advance information, which requires only panel data on consumption and income....

We assess the predictive ability of 15 economic uncertainty measures in a real-time out-of-sample forecasting exercise for the quantiles of The Conference Board's coincident economic index and its components (industrial production, employment, personal income, and manufacturing and trade sales)....

We study the performance of two analytical methods and one simulation method for computing in-sample confidence bounds for time-varying parameters. These in-sample bounds are designed to reflect parameter uncertainty in the associated filter. They are applicable to the complete class of...

We include initial holdings in the jungle economy of Piccione and Rubinstein (Economic Journal, 2007) in which the unique equilibrium satisfies lexicographic welfare maximization. When we relax assumptions on consumption sets and preferences slightly, equilibria other than lexicographic welfare...