Jean-Philippe Cayen was appointed Senior Policy Advisor in the International Economic Analysis Department in December 2018. In this capacity, he is part of the leadership team that guides and manages the work of the department. He leads the department’s contribution to the Bank’s Monetary Policy Report and conducts analysis and research on current issues affecting the international economy. His primary interests include economic forecasting and business cycle analysis.
Mr. Cayen started his career at the Bank in 2000 as an economist in the Monetary and Financial Analysis Department. He has held several positions at the Bank over the years, including Director of the United States Division and Director of the Projection Division in the Canadian Economic Analysis Department. He holds a master's degree in applied economics from HEC Montréal.
This note presents the updated estimates of potential output growth for the global economy through 2021. Global potential output is expected to grow by 3.3 per cent per year over the projection horizon.
We estimate two new equations for Canadian non-commodity exports (NCX) that incorporate three important changes relative to the current equation used at the Bank of Canada.
We use a novel approach to identify economic developments that drive exchange rates in the long run. Using a panel of six quarterly U.S. bilateral real exchange rates – Australia, Canada, the euro, Japan, New Zealand and the United Kingdom – over the 1980-2007 period, a dynamic factor model points to two common factors.
The workhorse DSGE model used for monetary policy evaluation is designed to capture business cycle fluctuations in an optimization-based format. It is commonplace to log-linearize models and express them with variables in deviation-from-steady-state format.
The authors propose a monetary policy rule for the Terms-of-Trade Economic Model (ToTEM), the Bank of Canada's new projection and policy-analysis model for the Canadian economy.
In this paper, we measure, with Canadian data, the scope of the revisions to real-time estimates of the output gap generated with several univariate and multivariate techniques. We also make an empirical evaluation of the usefulness of the output gap estimates for predicting inflation.
