C5 - Econometric Modeling

• Deriving Longer-Term Inflation Expectations and Inflation Risk Premium Measures for Canada

  Staff Discussion Paper 2024-9 Bruno Feunou, Zabi Tarshi

  We present two models for long-term inflation expectations and inflation risk premiums for Canada.

  Content Type(s): Staff research, Staff discussion papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C5, C58, E, E4, E43, E47, G, G1, G12

• Non-Parametric Identification and Testing of Quantal Response Equilibrium

  Staff Working Paper 2024-24 Johannes Hoelzemann, Ryan Webb, Erhao Xie

  We show that the utility function and the error distribution are non-parametrically over-identified under Quantal Response Equilibrium (QRE). This leads to a simple test for QRE. We illustrate our method in a Monte Carlo exercise and a laboratory experiment.

  Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Economic models JEL Code(s): C, C1, C14, C5, C57, C9, C92

• Decomposing Systemic Risk: The Roles of Contagion and Common Exposures

  Staff Working Paper 2024-19 Grzegorz Halaj, Ruben Hipp

  We examine systemic risks within the Canadian banking sector, decomposing them into three contribution channels: contagion, common exposures, and idiosyncratic risk. Through a structural model, we dissect how interbank relationships and market conditions contribute to systemic risk, providing new insights for financial stability.

  Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Economic models, Financial institutions, Financial stability JEL Code(s): C, C3, C32, C5, C51, G, G2, G21, L, L1, L14

• Finding a Needle in a Haystack: A Machine Learning Framework for Anomaly Detection in Payment Systems

  Staff Working Paper 2024-15 Ajit Desai, Anneke Kosse, Jacob Sharples

  Our layered machine learning framework can enhance real-time transaction monitoring in high-value payment systems, which are a central piece of a country’s financial infrastructure. When tested on data from Canadian payment systems, it demonstrated potential for accurately identifying anomalous transactions. This framework could help improve cyber and operational resilience of payment systems.

  Content Type(s): Staff research, Staff working papers Research Topic(s): Digital currencies and fintech, Financial institutions, Financial services, Financial system regulation and policies, Payment clearing and settlement systems JEL Code(s): C, C4, C45, C5, C55, D, D8, D83, E, E4, E42

• Forecasting Recessions in Canada: An Autoregressive Probit Model Approach

  Staff Working Paper 2024-10 Antoine Poulin-Moore, Kerem Tuzcuoglu

  We forecast recessions in Canada using an autoregressive (AR) probit model. The results highlight the short-term predictive power of the US economic activity and suggest that financial indicators are reliable predictors of Canadian recessions. In addition, the suggested model meaningfully improves the ability to forecast Canadian recessions, relative to a variety of probit models proposed in the Canadian literature.

  Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Econometric and statistical methods JEL Code(s): C, C5, C51, C53, E, E3, E32

• Predictive Density Combination Using a Tree-Based Synthesis Function

  Staff Working Paper 2023-61 Tony Chernis, Niko Hauzenberger, Florian Huber, Gary Koop, James Mitchell

  This paper studies non-parametric combinations of density forecasts. We introduce a regression tree-based approach that allows combination weights to vary on the features of the densities, time-trends or economic indicators. In two empirical applications, we show the benefits of this approach in terms of improved forecast accuracy and interpretability.

  Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C11, C3, C32, C5, C53

• 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.

  Content Type(s): Staff research, Staff analytical notes Research Topic(s): Business fluctuations and cycles, Econometric and statistical methods JEL Code(s): C, C3, C32, C5, C58, E, E4, E44, G, G1, G17

• 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.

  Content Type(s): Staff research, Staff discussion papers Research Topic(s): Economic models, Monetary policy JEL Code(s): C, C3, C32, C5, C51, E, E3, E37, E4, E47, E5, E52

• Testing Collusion and Cooperation in Binary Choice Games

  Staff Working Paper 2023-58 Erhao Xie

  This paper studies the testable implication of players’ collusive or cooperative behaviour in a binary choice game with complete information. I illustrate the implementation of this test by revisiting the entry game between Walmart and Kmart.

  Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Market structure and pricing JEL Code(s): C, C5, C57, L, L1, L13

• 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 Research Topic(s): Central bank research, Econometric and statistical methods, Economic models JEL Code(s): A, A1, A10, B, B2, B23, C, C4, C45, C5, C55