This paper investigates the business cycle linkages between Canada, Mexico, and the United States by examining the significant features of the three business cycles for the period 1963 to 2002. It analyzes the correlation between the cyclical fluctuations in these countries and answers this key...

Using a dynamic factor model that allows for changes in both the long-run growth rate of output and the volatility of business cycles, we document a significant decline in long-run output growth in the United States. Our evidence supports the view that most of this slowdown occurred prior to the...

We present evidence that global vectorautoregressive (GVAR) models produce significantly more accurate recession forecasts than country-specific time-series models in a Bayesian framework. This result holds for most countries and forecast horizons as well as for several country groups.

The COVID-19 pandemic has led to enormous data movements that strongly affect parameters and forecasts from standard VARs. To address these issues, we propose VAR models with outlier-augmented stochastic volatility (SV) that combine transitory and persistent changes in volatility. The resulting...

Central to the global impacts of China's emergence has been its structural imbalance (its excess product supply and excess saving), but this has diminished considerably in the transition years since 2010. These imbalances are now reversed as its consumption expands faster than its GDP and so the...

This paper develops a search and matching model of mergers and acquisitions (M&A) and uses it to evaluate the implications of merger activity for aggregate economic outcomes. The theory is consistent with a rich set of micro-level facts on US M&A, including, e.g., sorting among merging firms, a...

In the years since the Great Recession, many observers have highlighted the slow pace of productivity growth around the world. For the United States and Europe, we highlight that this slow pace began prior to the Great Recession. The timing thus suggests that it is important to consider factors...

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...

Historically, U.S. labor productivity (output per hour) and total factor productivity (TFP) rose in booms and fell in recessions. Different models of business cycles explain this procyclicality differently. Traditional Keynesian models relied on \\"factor hoarding,\\" that is, variations in how...

This article re-examines the findings of Stock and Watson (2012b) who assessed the predictive performance of dynamic factor models (DFM) over autoregressive (AR) bench-marks for hundreds of target variables by focusing on possible business cycle performance asymmetries in the spirit of Chauvet...