This paper examines the importance of credit market shocks in driving global business cycles over the period 1988:1-2009:4. We first estimate common components in various macroeconomic and financial variables of the G-7 countries. We then evaluate the role played by credit market shocks using a...

Both global and regional economic linkages have strengthened substantially over the past quarter century. We employ a dynamic factor model to analyze the implications of these linkages for the evolution of global and regional business cycles. Our model allows us to assess the roles played by the...

We examine the properties of house price fluctuations across eighteen advanced economies over the past forty years. We ask two specific questions: First, how synchronized are housing cycles across these countries? Second, what are the main shocks driving movements in global house prices? To...

We develop a new dynamic factor model that allows us to jointly characterize global macroeconomic and financial cycles and the spillovers between them. The model decomposes macroeconomic cycles into the part driven by global and country-specific macro factors and the part driven by spillovers...

We develop a new dynamic factor model that allows us to jointly characterize global macroeconomic and financial cycles and the spillovers between them. The model decomposes macroeconomic cycles into the part driven by global and country-specific macro factors and the part driven by spillovers...

This paper analyzes the evolution of the degree of global cyclical interdependence over the period 1960-2005. We categorize the 106 countries in our sample into three groups: industrial countries, emerging markets, and other developing economies. Using a dynamic factor model, we then decompose...

This paper studies the changes in world business cycles during 1960-2003. We employ a Bayesian dynamic latent factor model to estimate common and country-specific components in the main macroeconomic aggregates of the Group of Seven (G-7) countries. We then quantify the relative importance of...

We compare methods to measure comovement in business cycle data using multi-level dynamic factor models. To do so, we employ a Monte Carlo procedure to evaluate model performance for different specifications of factor models across three different estimation procedures. We consider three general...

This paper analyzes the evolution of the degree of global cyclical interdependence over the period 1960-2005. We categorize the 106 countries in our sample into three groups - industrial countries, emerging markets, and other developing economies. Using a dynamic factor model, we then decompose...

The paper investigates the common dynamic properties of business cycle fluctuations across countries, regions and the world. We employ a Bayesian dynamic latent factor model to estimate common components in main macroeconomic aggregates (output, consumption and investment) in a sixty-country...