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263 Results

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.
November 20, 2003

Low and Predictable Inflation and the Performance of Canadian Labour Markets

Lecture David Dodge Memorial University of Newfoundland St. John's, Newfoundland and Labrador
The goal of Canadian monetary policy is to contribute to solid economic performance and rising living standards. The best way we can do this is by keeping inflation low, stable, and predictable. This has important implications for labour market performance.

Understanding Trend Inflation Through the Lens of the Goods and Services Sectors

Staff working paper 2020-45 Yunjong Eo, Luis Uzeda, Benjamin Wong
The goods and services sectors have experienced considerably different dynamics over the past three decades. Our goal in this paper is to understand how such contrasting behaviors at the sectoral level affect the aggregate level of trend inflation dynamics.

Survival Analysis of Bank Note Circulation: Fitness, Network Structure and Machine Learning

Staff working paper 2020-33 Diego Rojas, Juan Estrada, Kim Huynh, David T. Jacho-Chávez
Using the Bank of Canada's Currency Information Management Strategy, we analyze the network structure traced by a bank note’s travel in circulation and find that the denomination of the bank note is important in our potential understanding of the demand and use of cash.

What do high-frequency expenditure network data reveal about spending and inflation during COVID‑19?

Staff analytical note 2020-20 Kim Huynh, Helen Lao, Patrick Sabourin, Angelika Welte
The official consumer price index (CPI) inflation measure, based on a fixed basket set before the COVID 19 pandemic, may not fully reflect what consumers are currently experiencing. We partnered with Statistics Canada to construct a more representative index for the pandemic with weights based on real-time transaction and survey data.

Optimal Conventional and Unconventional Monetary Policy Mix

Staff working paper 2026-18 Sami Alpanda, Serdar Kabaca, Kostas Mavromatis
We show that in a heterogeneous economy, optimal policy after cost-push shocks raises short-term rates to curb inflation while lowering long-term rates to support indebted households, speeding investment and output recovery while increasing consumption inequality.

Supply Drivers of US Inflation Since the COVID-19 Pandemic

Staff working paper 2023-19 Serdar Kabaca, Kerem Tuzcuoglu
This paper examines the contribution of several supply factors to US headline inflation since the start of the COVID-19 pandemic. We identify six supply shocks using a structural VAR model: labor supply, labor productivity, global supply chain, oil price, price mark-up and wage mark-up shocks.

How Long is Forever in the Laboratory? Three Implementations of an Infinite-Horizon Monetary Economy

Staff working paper 2021-16 Janet Hua Jiang, Daniela Puzzello, Cathy Zhang
Standard monetary models adopt an infinite horizon with discounting. Testing these models in the lab requires implementing this horizon within a limited time frame. We compare three approaches to such an implementation and discuss their relative advantages.

Monetary Policy, Trends in Real Interest Rates and Depressed Demand

Staff working paper 2021-27 Paul Beaudry, Césaire Meh
Over the last few decades, real interest rates have trended downward. The most common explanation is that this reflects depressed demand due to demographic, technological and other real factors. We explore the claim that these trends may have been amplified by certain features of monetary policy.
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