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
A Blueprint for the Fourth Generation of Bank of Canada Projection and Policy Analysis Models Staff discussion paper 2023-23 Donald Coletti The fourth generation of Bank of Canada projection and policy analysis models seeks to improve our understanding of inflation dynamics, the supply side of the economy and the underlying risks faced by policy-makers coming from uncertainty about how the economy functions. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C5, C50, C51, C52, C53, C54, C55 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission, Real economy and forecasting
Labor Market Shocks and Monetary Policy Staff working paper 2023-52 Serdar Birinci, Fatih Karahan, Yusuf Mercan, Kurt See We develop a heterogeneous-agent New Keynesian model featuring a frictional labor market with on-the-job search to quantitatively study the positive and normative implications of employer-to-employer transitions for inflation. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E1, E12, E2, E24, E5, E52, J, J3, J31, J6, J62, J64 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission, Real economy and forecasting
Predicting Changes in Canadian Housing Markets with Machine Learning Staff discussion paper 2023-21 Johan Brannlund, Helen Lao, Maureen MacIsaac, Jing Yang We apply two machine learning algorithms to forecast monthly growth of house prices and existing homes sales in Canada. Although the algorithms can sometimes outperform a linear model, the improvement in forecast accuracy is not always statistically significant. Content Type(s): Staff research, Staff discussion papers JEL Code(s): A, C, C4, C45, C5, C53, D, D2, R, R2, R3 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
Forecasting Risks to the Canadian Economic Outlook at a Daily Frequency Staff discussion paper 2023-19 Chinara Azizova, Bruno Feunou, James Kyeong This paper quantifies tail risks in the outlooks for Canadian inflation and real GDP growth by estimating their conditional distributions at a daily frequency. We show that the tail risk probabilities derived from the conditional distributions accurately reflect realized outcomes during the sample period from 2002 to 2022. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C3, C32, C5, C58, E, E4, E44, G, G1, G17 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
The Macroeconomic Effects of Debt Relief Policies During Recessions Staff working paper 2023-48 Soyoung Lee A large-scale reduction in mortgage principal can strengthen a recovery, support house prices and lower foreclosures. The nature of the intervention shapes its impact, which rests on how resources are redistributed across households. The availability of bankruptcy on unsecured debt changes the response to large-scale mortgage relief by reducing precautionary savings. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E21, E3, E32, E6 Research Theme(s): Financial system, Household and business credit, Models and tools, Economic models, Monetary policy, Monetary policy tools and implementation, Real economy and forecasting
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
Combining Large Numbers of Density Predictions with Bayesian Predictive Synthesis Staff working paper 2023-45 Tony Chernis I show how to combine large numbers of forecasts using several approaches within the framework of a Bayesian predictive synthesis. I find techniques that choose and combine a handful of forecasts, known as global-local shrinkage priors, perform best. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C11, C5, C52, C53, E, E3, E37 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
A Behavioral New Keynesian Model of a Small Open Economy Under Limited Foresight Staff working paper 2023-44 Seunghoon Na, Yinxi Xie This paper studies exchange rate dynamics by incorporating bounded rationality, that is, limited foresight, in a small open-economy model. This behavior of limited foresight helps explain several observations and puzzles in the data of exchange rate movements. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, E43, E7, E70, F, F3, F31, F4, F41 Research Theme(s): Financial markets and funds management, International markets and currencies, Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission
Digitalization: Implications for Monetary Policy Staff discussion paper 2023-18 Vivian Chu, Tatjana Dahlhaus, Christopher Hajzler, Pierre-Yves Yanni We explore the implications of digitalization for monetary policy, both in terms of how monetary policy affects the economy and in terms of data analysis and communication with the public. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C4, C8, E, E3, E31, E32, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Monetary policy framework and transmission, Structural challenges, Digitalization and productivity