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316 Results

Finding the balance—measuring risks to inflation and to GDP growth

Staff analytical note 2023-18 Bruno Feunou, James Kyeong
Using our new quantitative tool, we show how the risks to the inflation and growth outlooks have evolved over the course of 2023.

Making It Real: Bringing Research Models into Central Bank Projections

Staff discussion paper 2023-29 Marc-André Gosselin, Sharon Kozicki
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.

Assessing the effects of higher immigration on the Canadian economy and inflation

We assess the complex macroeconomic implications of Canada’s recent population increases. We find that newcomers significantly boost the non-inflationary, potential growth of the economy, but existing imbalances in the housing sector may be exacerbated. Greater housing supply is needed to complement the long-term economic benefits of population growth.

Immigration and Provision of Public Goods: Evidence at the Local Level in the U.S.

Staff working paper 2023-57 Anna Maria Mayda, Mine Z. Senses, Walter Steingress
Using U.S. county-level data from 1990 to 2010, we study the causal impact of immigration on the provision of local public goods. We uncover substantial heterogeneity across immigrants with different skills and immigrants of different generations, which leads to unequal fiscal effects across U.S. counties.

The Heterogeneous Impacts of Job Displacement: Evidence from Canadian Job Separation Records

Staff working paper 2023-55 Serdar Birinci, Youngmin Park, Kurt See
When estimating earnings losses upon job separations, existing strategies focus on separations in mass layoffs to distinguish involuntary separations from voluntary separations. We revisit the measurement of the sources and consequences of involuntary job separations using Canadian job separation records.

Borrow Now, Pay Even Later: A Quantitative Analysis of Student Debt Payment Plans

Staff working paper 2023-54 Michael Boutros, Nuno Clara, Francisco Gomes
We investigate alternative student debt contracts that defer payments and ease the burden of student loans on US households by preserving disposable income early in borrowers’ lives. Our model shows substantial welfare gains from these contracts relative to existing plans and gains similar to the Biden administration's proposals but with a significantly lower cost.

An Overview of the Indigenous Economy in Canada

Staff discussion paper 2023-25 Alex Chernoff, Calista Cheung
Several measures suggest economic outcomes have improved for Indigenous Peoples in recent decades. Yet, institutional settings and gaps in infrastructure and financing continue to hinder their economic progress. Recent efforts have helped address some data gaps, and new institutions are helping Indigenous communities to overcome historic barriers to growth.

A Blueprint for the Fourth Generation of Bank of Canada Projection and Policy Analysis Models

Staff discussion paper 2023-23 Donald Coletti
The fourth generation of Bank of Canada projection and policy analysis models seeks to improve our understanding of inflation dynamics, the supply side of the economy and the underlying risks faced by policy-makers coming from uncertainty about how the economy functions.

Labor Market Shocks and Monetary Policy

Staff working paper 2023-52 Serdar Birinci, Fatih Karahan, Yusuf Mercan, Kurt See
We develop a heterogeneous-agent New Keynesian model featuring a frictional labor market with on-the-job search to quantitatively study the positive and normative implications of employer-to-employer transitions for inflation.

Predicting Changes in Canadian Housing Markets with Machine Learning

Staff discussion paper 2023-21 Johan Brannlund, Helen Lao, Maureen MacIsaac, Jing Yang
We apply two machine learning algorithms to forecast monthly growth of house prices and existing homes sales in Canada. Although the algorithms can sometimes outperform a linear model, the improvement in forecast accuracy is not always statistically significant.
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