Browse research

This paper examines the role of the extensive and intensive margins of labour input in the context of a business cycle model with a financial friction. We document significant variation in the hours worked per worker for many emerging-market economies. Both employment and hours worked per worker are positively correlated with each other and with output.

We build an otherwise-standard business cycle model with housework, calibrated consistently with data on time use, in order to discipline consumption-hours complementarity and relate its strength to the size of fiscal multipliers.

We analyze how network effects affect competition in the nascent cryptocurrency market. We do so by examining the changes over time in exchange rate data among cryptocurrencies.

Guided by a macroeconomic model in which non-energy commodity prices are endogenously determined, we apply a new factor-based identification strategy to decompose the historical sources of changes in commodity prices and global economic activity.

The authors describe the key features of a new large-scale Canadian macroeconomic forecasting model developed over the past two years at the Bank of Canada.

A default in the Automated Clearing Settlement System (ACSS) occurs when a Direct Clearer is unable to settle its final obligation.

This paper assesses the effectiveness and associated externalities that arise when macroprudential policies (MPPs) are used to manage international capital flows. Using a sample of up to 139 countries, we examine the impact of eight different MPP measures on cross-border bank flows over the period 1999-2009.

We propose a parsimonious model of information choice in a global coordination game of regime change that is used to analyze debt crises, bank runs or currency attacks. A change in the publicly available information alters the uncertainty about the behavior of other investors.

A major policy challenge posed by derivatives clearinghouses is that their collateral requirements can rise sharply in times of stress, reducing market liquidity and further exacerbating downturns.

In this paper, the authors develop a new tool to improve the short-term forecasting of real GDP growth in the euro area and Japan. This new tool, which uses unrestricted mixed-data sampling (U-MIDAS) regressions, allows an evaluation of the usefulness of a wide range of indicators in predicting short-term real GDP growth.