Cycles in the behavior of stock markets have been widely documented. There is an increasing body of literature on whether stock markets anticipate business cycles or its turning points. Several recent studies assert that financial integration impacts positively on business cycle comovements of...

This paper proposes a multi-level dynamic factor model to identify common components in output gap estimates. We pool multiple output gap estimates for 157 countries and decompose them into one global, eight regional, and 157 country-specific cycles. Our approach easily deals with mixed...

The paper questions the reasonability of using forecast error variance decompositions for assessing the role of different structural shocks in business cycle fluctuations. It is shown that the forecast error variance decomposition is related to a dubious definition of the business cycle. A...

We show that two models of the labor market, a Walrasian model and a labor contracting model, both have an approximate dynamic factor structure. We use this result to motivate our empirical approach to estimating the cyclical properties of real wages, which does not impose any structure between...

I show that inter-firm lending plays an important role in business cycle fluctuations. I first build a tractable network model of the economy in which trade in intermediate goods is financed by supplier credit. In the model, a financial shock to one firm affects its ability to make payments to...

We estimate a production‐based general equilibrium model featuring demand‐ and supply‐side uncertainty and an endogenous term premium. Using term structure and macroeconomic data, we find sizable effects of uncertainty on risk premia and business cycle fluctuations. Both demand‐ and...

This paper studies the impact of Higher Order Belief (HOB) shocks, representing shifts in agents' beliefs about others' beliefs, on macroeconomic outcomes. The dynamic causal effects of these shocks are identified by leveraging a combination of a proxy-VAR approach and DSGE-based instruments....

We use parametric and semi-parametric methods to explore the effects of structural breaks on long memory processes in nine US regional and national housing prices over the period from January 1991 to February 2014. The results reveal multiple structural breaks and differential break points...

We propose a multivariate Bayesian state space model to identify potential growth and the output gap consistent with the dynamics of the underlying production sectors of the economy and those of inflation and the labor market. Our approach allows us to decompose economic fluctuations and...

We propose and implement an index of macroeconomic vulnerability to foreign shocks based on a structural time-varying bayesianVARwith a block-exogeneity hypothesis for a given pair of a large economy and a small open economy. The index is based on the sum of the responses of the small open...