To analyze the international transmission of business cycle fluctuations, we propose a new multilevel dynamic factor model with a block structure that (i) does not restrict the factors to being orthogonal and (ii) mixes data sampled at quarterly and monthly frequencies. By means of Monte Carlo...

This paper investigates which shocks drive asynchrony of business cycles in the euro area. Thereby, it unites two strands of literature, those on common features and on structural VAR analysis. In particular, we show that the presence of a common cycle implies collinearity of structural impulse...

We extract a global factor from cross-country output growth since 1960. We find that the fluctuations of the global factor are typically small, with the annualized unconditional volatility estimated at 0.06%, but highly persistent, with estimated persistence at 0.98. Evidence of time variation...

According to a growing body of empirical literature, global shocks have become less important for business cycles in industrialized countries and emerging market economies since the mid-1980s. In this paper, we analyze the question of what might have caused a decoupling from the global business...

This paper takes an otherwise standard real-business-cycle setup with government sector, and augments it with shocks to consumer confidence to study business cycle fluctuations. A surprise increase in consumer confidence generates higher utility, as the household values consumption more in...

We study the origin of comovement in economic fluctuations across regions in India through a unique administrative dataset on plant-level sales. Regional sales exhibit a high level of comovement that can be traced to a small number of large plants located in different regions, indicating a...

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...

Bivariate SVAR models employing long-run identifying restrictions are often used to investigate the source of business cycle fluctuations. Their advantage is the simplicity in use and interpretation. However, their low dimension may also lead to a failure of the identification procedure, with...