Marc-André Gosselin was appointed Managing Director of the Bank’s Canadian Economic Analysis Department (CEA), effective March 11, 2019. In this capacity, Mr. Gosselin is responsible for the strategic direction and management of the department, which includes providing rigorous and timely analysis of economic conditions in Canada as well as advice on the conduct of monetary policy.
Previously, as Deputy Managing Director of the Financial Stability Department (FSD), Mr. Gosselin was responsible for the department’s work related to systemic risk assessment, stress testing and monetary policy. He was also the Senior Officer in FSD overseeing the Bank of Canada’s Financial System Review.
Mr. Gosselin joined the Bank in 1999 as an economist. Over the years, he has held increasingly senior positions, developing a particular expertise in macroeconomic and risk analysis.
Born in Montréal, Quebec, Mr. Gosselin holds a master’s degree in Applied Economics from Montréal’s École des Hautes Études Commerciales.
After a period with the interest rate at the effective lower bound, temporarily overshooting inflation may offer important economic benefits. This may be especially true for vulnerable segments of the population, such as workers with low attachment to the labour force and the long-term unemployed.
We conduct a randomized information experiment leveraging the Canadian Survey of Consumer Expectations. We provide causal evidence that respondents revise both their short- and medium-term expectations of future house price growth in a way that is consistent with observed short-term momentum in house prices. However, empirically, house price growth tends to revert to its mean in the medium term.
Macroeconomic projections and risk analyses play an important role in guiding monetary policy decisions. Models are integral to this process. This paper discusses how the Bank of Canada brings research models and lessons learned from those models into the central bank projection environment.
We construct new indicators of demand and supply for the Canadian economy by using natural language processing techniques to analyze earnings calls of publicly listed firms. Our results indicate that the new indicators could help central banks identify inflationary pressures in real time.
Are summers getting hotter? Do daily temperatures change more than they used to? Using daily Canadian temperature data from 1960 to 2020 and modern econometric methods, we provide economists and policy-makers evidence on the important climate change issue of evolving temperatures.
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 inflation targeting (IT) regime is 17 years old. With practice of IT now in more than 21 countries, there is enough evidence gathered to take stock of the IT experience. In this paper, we analyze the inflation record of IT central banks.
Traditional structural models cannot distinguish whether changes in activity are a function of altered expectations today or lagged responses to past plans. Polynomial-adjustment-cost (PAC) models remove this ambiguity by explicitly separating observed dynamic behaviour into movements that have been induced by changes in expectations, and responses to expectations, that have been delayed because of adjustment costs.
This paper evaluates the forecasting performance of factor models for Canadian inflation. This type of model was introduced and examined by Stock and Watson (1999a), who have shown that it is quite promising for forecasting U.S. inflation.
The analysis and forecasting of developments in the U.S. economy have always played a critical role in the formulation of Canadian economic and financial policy. Thus, the Bank places considerable importance on generating internal forecasts of U.S. economic activity as an input to the Canadian projection.
The Bank of Canada recently launched a quarterly survey to measure the expectations of Canadian households: the Canadian Survey of Consumer Expectations (CSCE). The data collected provide comprehensive information about consumer expectations for and uncertainty about inflation, the labour market and household finance. This article describes the CSCE and illustrates its potential to offer rich information about Canadian consumers for researchers and policy-makers.
Inflation rates in advanced economies experienced two consecutive puzzles during the period following the global financial crisis—unexpectedly high inflation from the end of 2009 to 2011 and unexpectedly low inflation from 2012 to the middle of 2014. We investigate these developments in two ways. First, we show that accounting for inflation expectations by households explains a significant share of the inflation puzzles at the international level. Second, we find that, for Canada, elevated competition in the retail sector is also important for understanding inflation dynamics in the post-crisis period.
Gosselin examines and reports on the various factors that contribute to successful inflation targeting. Using a panel of 21 inflation-targeting countries over the period 1990Q1-2007Q2, Gosselin finds that the ability of central banks to hit their targets varies considerably. Some of these differences can be explained by exchange rate fluctuations, fiscal deficits, and differences in financial development. Others are explained by differences in the targeting framework itself and the manner in which it is implemented.
Staff projections provided for the Bank of Canada's monetary policy decision process take into account the integration of Canada's very open economy within the global economy, as well as its close real and financial linkages with the United States. To provide inputs for this projection, the Bank has developed several models, including MUSE, NEUQ (the New European Quarterly Model), and BoC-GEM (Bank of Canada Global Economy Model), to analyze and forecast economic developments in the rest of the world. The authors focus on MUSE, the model currently used to describe interaction among the principal U.S. economic variables, including gross domestic product, inflation, interest rates, and the exchange rate. Brief descriptions are also provided of NEUQ and BoC-GEM.
The Rise of Mortgage Finance Companies in Canada: Benefits and Vulnerabilities, by Don Coletti, Marc-André Gosselin and Cameron MacDonald, examines the increased importance of mortgage finance companies (MFCs) in the Canadian mortgage market. The authors discuss the MFC business model, highlighting MFCs’ relationship with mortgage brokers and banks, as well as the benefits they bring to Canadian borrowers. The authors conclude with a discussion of the impact of MFCs on financial system vulnerabilities.