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. Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Economic models, Inflation and prices, Monetary policy JEL Code(s): C, C1, C11, D, D8, D83, D84, E, E3, E6, E62
How does the Bank of Canada’s balance sheet impact the banking system? Staff Analytical Note 2022-12 Daniel Bolduc-Zuluaga, Brad Howell, Grahame Johnson We examine how changes in the Bank of Canada’s balance sheet impact the banking system. Quantitative easing contributed to an increase in the size of the banking system’s balance sheet and an improvement in bank liquidity coverage ratios. Quantitative tightening is expected to partially reverse these impacts. The banking system will have to adjust its liquidity management strategy in response. Content Type(s): Staff research, Staff analytical notes Topic(s): Financial institutions, Financial stability, Monetary policy JEL Code(s): E, E5, E51, G, G2, G21, G23, G3, G32
September 20, 2022 Bank of Canada Media Interview – Zone économie Paul Beaudry, Deputy Governor of the Bank of Canada, gave an interview to Radio-Canada’s Andrée-Anne St-Arnaud. The interview will air today on Zone économie. Please check local listings or go to https://ici.radio-canada.ca/ for more information. Content Type(s): Press, Media advisories
September 20, 2022 Speech by Paul Beaudry, Deputy Governor of the Bank of Canada On Tuesday, September 20, 2022, Paul Beaudry, Deputy Governor of the Bank of Canada, will speak at the University of Waterloo Faculty of Arts Distinguished Lecture in Economics. Content Type(s): Press, Media advisories
The Central Bank’s Dilemma: Look Through Supply Shocks or Control Inflation Expectations? Staff Working Paper 2022-41 Paul Beaudry, Thomas J. Carter, Amartya Lahiri When countries are hit by supply shocks, central banks often face the dilemma of either looking through such shocks or reacting to them to ensure that inflation expectations remain anchored. In this paper, we propose a tractable framework to capture this dilemma and then explore optimal policy under a range of assumptions about how expectations are formed. Content Type(s): Staff research, Staff working papers Topic(s): Central bank research, Economic models, Inflation and prices, Monetary policy, Monetary policy and uncertainty, Monetary policy communications JEL Code(s): E, E1, E12, E2, E24, E3, E31, E5, E52, E58, E6, E65
September 20, 2022 Macroeconomics of the 2020s: What we’ve learned, and what’s to come Remarks Paul Beaudry University of Waterloo Faculty of Arts Distinguished Lecture in Economics Waterloo, Ontario Deputy Governor Paul Beaudry discusses the macroeconomic lessons we’ve learned during the COVID-19 pandemic, and what lies ahead to bring inflation back to target. Content Type(s): Press, Speeches and appearances, Remarks Topic(s): Coronavirus disease (COVID-19), Expectations, Inflation and prices, Inflation targets, International topics, Labour markets, Monetary policy implementation, Recent economic and financial developments
Calculating Effective Degrees of Freedom for Forecast Combinations and Ensemble Models Staff Discussion Paper 2022-19 James Younker This paper derives a calculation for the effective degrees of freedom of a forecast combination under a set of general conditions for linear models. Computing effective degrees of freedom shows that the complexity cost of a forecast combination is driven by the parameters in the weighting scheme and the weighted average of parameters in the auxiliary models. Content Type(s): Staff research, Staff discussion papers Topic(s): Econometric and statistical methods JEL Code(s): C, C0, C01, C02, C1, C13, C5, C50, C51, C52, C53