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2063 Results

International Portfolio Rebalancing and Fiscal Policy Spillovers

Staff Working Paper 2023-56 Sami Alpanda, Uluc Aysun, Serdar Kabaca
We evaluate, both empirically and theoretically, the spillover effects that debt-financed fiscal policy interventions of the United States have on other economies. We consider a two-country model with international portfolio rebalancing effects. We show that US fiscal expansions would increase global long-term rates and hinder economic activity in the rest of the world.

Machine learning for economics research: when, what and how

Staff Analytical Note 2023-16 Ajit Desai
This article reviews selected papers that use machine learning for economics research and policy analysis. Our review highlights when machine learning is used in economics, the commonly preferred models and how those models are used.

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 separation, 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 job displacement using Canadian job separation records.
Content Type(s): Staff research, Staff working papers Topic(s): Labour markets, Potential output, Productivity JEL Code(s): E, E2, E24, E3, E32, J, J3, J31, J6, J63, J65

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.

Identifying Nascent High-Growth Firms Using Machine Learning

Staff Working Paper 2023-53 Stephanie Houle, Ryan Macdonald
Firms that grow rapidly have the potential to usher in new innovations, products or processes (Kogan et al. 2017), become superstar firms (Haltiwanger et al. 2013) and impact the aggregate labour share (Autor et al. 2020; De Loecker et al. 2020). We explore the use of supervised machine learning techniques to identify a population of nascent high-growth firms using Canadian administrative firm-level data.

Estimating the Appropriate Quantity of Settlement Balances in a Floor System

Staff Discussion Paper 2023-26 Narayan Bulusu, Matthew McNeely, Kaetlynd McRae, Jonathan Witmer
This paper presents two complementary approaches to estimating the appropriate quantity of settlement balances needed to effectively operate monetary policy under a floor system in Canada.

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.
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