We analyze output growth risk with respect to financial conditions across U.S. manufacturing industries. Using a multi-level quantile regression approach, we find strong heterogeneity in growth risk, particularly between the more vulnerable durable goods sector and the more resilient nondurable...

In this paper we investigate whether the dynamic properties of the U.S. business cycle have changed in the last fifty years. For this purpose we develop a flexible business cycle indicator that is constructed from a moderate set of macroeconomic time series. The coincident economic indicator is...

This paper proposes a new model-based method to obtain a coincident indicator for the business cycle. A dynamic factor model with trend components and a common cycle component is considered which can be estimated using standard maximum likelihood methods. The multivariate unobserved components...

To gain insights in the current status of the economy, macroeconomic time series are often decomposed into trend, cycle and irregular components. This can be done by nonparametric band-pass filtering methods in the frequency domain or by model-based decompositions based on autoregressive moving...

This paper studies the relationship between the change in the unemployment rate and output growth using an approach based on labor market flows. The framework shows why the Okun coefficient may be constant/time-varying and/or symmetric/asymmetric and that the outcome lies with the behavior of...

This paper uses cross-country micro-aggregated data on rm dynamics and productivity from the ECB CompNet database to provide empirical evidence on factor reallocation in the EU. The analysis finds that reallocation is towards more productive firms although the magnitude varies across countries...