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
Digitalization: Definition and Measurement Staff discussion paper 2023-20 Guyllaume Faucher, Stéphanie Houle This paper provides an overview of digitalization and its economic implications. We assess the scope of digitalization in Canada as well as the challenges related to its measurement. Content Type(s): Staff research, Staff discussion papers JEL Code(s): E, E0, E01, O, O3, O33, O5, O51 Research Theme(s): Models and tools, Economic models, Structural challenges, Digitalization and productivity
Labour Supply and Firm Size Staff working paper 2023-47 Lin Shao, Faisal Sohail, Emircan Yurdagul This paper documents a systematic pattern of how wages, hours and their relationship vary across firms of different sizes. Using a model with heterogeneous firms and workers, we show how the interplay between wages, hours and firm size affect worker sorting and inequality. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E24, J, J2, J3, J31 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply
International Economic Sanctions and Third-Country Effects Staff working paper 2023-46 Fabio Ghironi, Daisoon Kim, Galip Kemal Ozhan We study the transmission and third-country effects of international sanctions. A sanctioned country’s losses are mitigated, and the sanctioning country’s losses amplified, if a third country does not join the sanctions, but the third country benefits from not joining. Content Type(s): Staff research, Staff working papers JEL Code(s): F, F3, F31, F4, F41, F42, F5, F51 Research Theme(s): Models and tools, Economic models, Structural challenges, International trade, finance and competitiveness
Competition for Exclusivity and Customer Lock-in: Evidence from Copyright Enforcement in China Staff working paper 2023-43 Youming Liu This paper studies the music streaming industry and argues that having exclusive rights granted by copyright law drives firms to offer exclusive content to lock in customers. I employ theoretical and descriptive empirical analysis, along with a dynamic structural model, to support the argument and explore policies for improving competition. Content Type(s): Staff research, Staff working papers JEL Code(s): L, L1, L13, L4, L42, L5, L51 Research Theme(s): Financial markets and funds management, Market structure, Models and tools, Econometric, statistical and computational methods, Structural challenges, Digitalization and productivity