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424 Results

Behavioral Learning Equilibria in New Keynesian Models

Staff working paper 2022-42 Cars Hommes, Kostas Mavromatis, Tolga Özden, Mei Zhu
We introduce behavioral learning equilibria (BLE) into DSGE models with boundedly rational agents using simple but optimal first order autoregressive forecasting rules. The Smets-Wouters DSGE model with BLE is estimated and fits well with inflation survey expectations. As a policy application, we show that learning requires a lower degree of interest rate smoothing.

Has the Inflation Process Changed? Selective Review of Recent Research on Inflation Dynamics

Staff discussion paper 2020-11 Oleksiy Kryvtsov, James (Jim) C. MacGee
From 2011 to 2019, inflation in Canada and advanced economies usually registered below inflation targets, spurring the debate on whether the inflation process has changed. This paper highlights emerging questions that will influence the conduct of monetary policy in Canada in the near term.

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.
November 18, 2001

A New Measure of Core Inflation

While the Bank of Canada's inflation-control target is specified in terms of the rate of increase in the total consumer price index, the Bank uses a measure of trend or "core" inflation as a short-term guide for its monetary policy actions. When the inflation targets were renewed in May 2001, the Bank announced that it was adopting a new measure of core inflation. This measure excludes the eight most volatile components of the CPI and adjusts the remaining components for the effect of changes in indirect taxes. In this article, the author discusses the definition of the new measure of core inflation and describes some of its advantages relative to the previous measure. He notes that the new measure has a firmer statistical basis, has a better correspondence with economic theory, and does a better job of predicting future changes in overall inflation. While the new measure has these advantages, the Bank will continue to monitor a broad range of indicators when assessing the likely future path for inflation.

The Usage of Security Lending Facilities under Unconventional Monetary Policy: Evidence from Sweden

This paper examines the interaction between quantitative easing (QE) and the securities lending facility (SLF) using a detailed dataset on Riksbank QE purchases, Swedish DMO SLF transactions and OTC repo deals. A theoretical model further shows how excess demand for assets and search frictions shift the SLF from a backstop to a first-resort tool.

Household Heterogeneity and the Performance of Monetary Policy Frameworks

Staff working paper 2022-12 Edouard Djeutem, Mario He, Abeer Reza, Yang Zhang
Consumption inequality and a low interest rate environment are two important trends in today’s economy. But the implications they may have—and how those implications interact—within different monetary policy frameworks are not well understood. We study the ranking of alternative frameworks that take these trends into account.

Monetary Policy and Redistribution in Open Economies

Staff working paper 2022-6 Xing Guo, Pablo Ottonello, Diego Perez
We study how different types of monetary policy shape the distributional effects of external economic shocks on households’ consumption in a small open economy. Our results present a trade-off between maintaining overall stabilization and controlling consumption inequality.

Monetary Policy in an AI-Driven Two-Speed Economy

Staff working paper 2026-27 Joshua Brault, Maryam Haghighi, Jing Yang
We analyze monetary policy responses to AI in a two-sector New Keynesian model, distinguishing augmentation and automation. Both reduce labor demand, requiring accommodation that creates inflation trade-offs. Automation worsens them. Aggregate inflation depends on AI’s form and breadth, making policy stabilization more complex and aggregate data potentially misleading.
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