Structural challenges

• Digitalization: Prices of Goods and Services

  Staff discussion paper 2023-27 Vivian Chu, Tatjana Dahlhaus, Christopher Hajzler

  This paper outlines and assesses the various channels through which digitalization can affect prices of goods and services.

  Content Type(s): Staff research, Staff discussion papers JEL Code(s): D, D2, E, E3, E31, E5, E52, L, L1, L11 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Structural challenges, Digitalization and productivity

• 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.

  Content Type(s): Staff research, Staff analytical notes JEL Code(s): A, A1, A10, B, B2, B23, C, C4, C45, C5, C55 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Structural challenges, Digitalization and productivity

• 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.

  Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E24, E3, E32, J, J3, J31, J6, J63, J65 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply

• Identifying Nascent High-Growth Firms Using Machine Learning

  Staff working paper 2023-53 Stéphanie 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.

  Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C55, C8, C81, L, L2, L25 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Structural challenges, Digitalization and productivity

• 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.

  Content Type(s): Staff research, Staff discussion papers JEL Code(s): E, E0, E01, E02, N, N4, N41, N42, O, O4, O43, P, P4, P48 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply

• Variations in Pass-Through from Global Agricultural Commodity Prices to Domestic Food Inflation

  Staff discussion paper 2023-24 Daniel Hyun, Jacky Lee

  This paper examines factors that affect the transmission of fluctuations in global agricultural commodity prices to domestic food inflation.

  Content Type(s): Staff research, Staff discussion papers JEL Code(s): E, E3, E31, Q, Q0, Q02, Q1, Q11, Q17, Q18 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Structural challenges, International trade, finance and competitiveness

• Redefining Financial Inclusion for a Digital Age: Implications for a Central Bank Digital Currency

  Staff discussion paper 2023-22 Alexandra Sutton-Lalani, Sebastian Hernandez, John Miedema, Jiamin Dai, Badr Omrane

  We explore quantitative and qualitative information about Canadians who face barriers to making digital payments. We also consider the implications of ongoing digitalization for modern financial inclusion and a potential central bank digital currency.

  Content Type(s): Staff research, Staff discussion papers JEL Code(s): A, A1, A14, E, E4, E42, E5, E50, I, I3, I31, O, O3, O33, O5, O51 Research Theme(s): Money and payments, Digital assets and fintech, Retail payments, Structural challenges, Demographics and labour supply, Digitalization and productivity