E1 - General Aggregative Models - Bank of Canada
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Bank of Canada RSS Feedsen2024-03-28T18:49:16+00:00Labor Market Shocks and Monetary Policy
https://www.bankofcanada.ca/2023/10/staff-working-paper-2023-52/
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.2023-10-05T14:31:46+00:00enLabor Market Shocks and Monetary Policy2023-10-05Business fluctuations and cyclesInflation and pricesLabour marketsMonetary policyStaff Working Paper 2023-52https://www.bankofcanada.ca/wp-content/uploads/2023/10/swp2023-52.pdfStaff Working Paper 2023-52Serdar BirinciFatih KarahanYusuf MercanKurt SeeOctober 2023EE1E12E2E24E5E52JJ3J31J6J62J64Should Banks Be Worried About Dividend Restrictions?
https://www.bankofcanada.ca/2023/09/staff-working-paper-2023-49/
A regulator would want to restrict dividends to force banks to rebuild capital during a crisis. But such a policy is not time-consistent. A time-consistent policy would let banks gradually rebuild capital and pay dividends even when their equity remains below pre-crisis levels.2023-09-27T13:03:27+00:00enShould Banks Be Worried About Dividend Restrictions?2023-09-27Business fluctuations and cyclesCredit and credit aggregatesCredit risk managementFinancial stabilityFinancial system regulation and policiesLender of last resortStaff Working Paper 2023-49https://www.bankofcanada.ca/wp-content/uploads/2023/09/swp2023-49.pdfStaff Working Paper 2023-49Josef SchrothSeptember 2023EE1E13E3E32E4E44Assessing global potential output growth and the US neutral rate: April 2023
https://www.bankofcanada.ca/2023/05/staff-analytical-note-2023-5/
We expect global potential output growth to increase from 2.5% in 2022 to 2.8% by 2026. Compared with the April 2022 staff assessment, global potential output growth is marginally slower. The current range for the US neutral rate is 2% to 3%, unchanged from the last annual assessment.2023-05-09T13:35:36+00:00enAssessing global potential output growth and the US neutral rate: April 20232023-05-09Learning in a Complex World: Insights from an OLG Lab Experiment
https://www.bankofcanada.ca/2023/02/staff-working-paper-2023-13/
This paper brings novel insights into group coordination and price dynamics in complex environments. We implement a chaotic overlapping-generation model in the lab and find that group coordination is always on the steady state or on the two-cycle and that behavior is non-monotonic.2023-02-21T13:34:14+00:00enLearning in a Complex World: Insights from an OLG Lab Experiment2023-02-21Business fluctuations and cyclesEconomic modelsStaff Working Paper 2023-13https://www.bankofcanada.ca/wp-content/uploads/2023/02/swp2023-13.pdfStaff Working Paper 2023-13Cars HommesStefanie J. HuberDaria MininaIsabelle SalleFebruary 2023CC6C62C68C9C91C92EE1E13E7E70GG1G12G4G41CANVAS: A Canadian Behavioral Agent-Based Model
https://www.bankofcanada.ca/2022/12/staff-working-paper-2022-51/
The Bank of Canada’s current suite of models faces challenges in addressing network effects that integrate household and firm-level heterogeneity and their behaviours. We develop CANVAS, a Canadian behavioural agent-based model to contribute to the Bank’s next-generation modelling effort. CANVAS improves forecasting performance and expands capacity for model-based scenario analysis.2022-12-20T08:40:00+00:00enCANVAS: A Canadian Behavioral Agent-Based Model2022-12-20Central bank researchEconometric and statistical methodsEconomic modelsFirm dynamicsInflation and pricesStaff Working Paper 2022-51https://www.bankofcanada.ca/wp-content/uploads/2022/12/swp2022-51.pdfCANVAS: A Canadian Behavioral Agent-Based ModelCars HommesMario HeSebastian PolednaMelissa SiqueiraYang ZhangDecember 2022CDD2D22D8D83EE1E17The Central Bank’s Dilemma: Look Through Supply Shocks or Control Inflation Expectations?
https://www.bankofcanada.ca/2022/09/staff-working-paper-2022-41/
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.2022-09-20T15:30:42+00:00enThe Central Bank’s Dilemma: Look Through Supply Shocks or Control Inflation Expectations?2022-09-20Central bank researchEconomic modelsInflation and pricesMonetary policyMonetary policy and uncertaintyMonetary policy communicationsStaff Working Paper 2022-41https://www.bankofcanada.ca/wp-content/uploads/2022/09/swp2022-41.pdfStaff Working Paper 2022-41Paul BeaudryThomas J. CarterAmartya LahiriSeptember 2022EE1E12E2E24E3E31E5E52E58E6E65Quantum Monte Carlo for Economics: Stress Testing and Macroeconomic Deep Learning
https://www.bankofcanada.ca/2022/06/staff-working-paper-2022-29/
Using the quantum Monte Carlo algorithm, we study whether quantum computing can improve the run time of economic applications and challenges in doing so. We apply the algorithm to two models: a stress testing bank model and a DSGE model solved with deep learning. We also present innovations in the algorithm and benchmark it to classical Monte Carlo.2022-06-28T15:47:31+00:00enQuantum Monte Carlo for Economics: Stress Testing and Macroeconomic Deep Learning2022-06-28Business fluctuations and cyclesCentral bank researchEconometric and statistical methodsEconomic modelsFinancial stabilityStaff Working Paper 2022-29https://www.bankofcanada.ca/wp-content/uploads/2022/06/swp2022-29.pdfStaff Working Paper 2022-29Vladimir SkavyshSofia PriazhkinaDiego GualaThomas BromleyJune 2022CC1C15C6C61C63C68C7EE1E13GG1G17G2G21Assessing global potential output growth and the US neutral rate: April 2022
https://www.bankofcanada.ca/2022/04/staff-analytical-note-2022-4/
We expect global potential output growth to increase from 2.7% in 2021 to 2.9% by 2024. Compared with the April 2021 assessment, global potential output growth is marginally slower. The current range for the US neutral rate is 2% to 3%, 0.25 percentage points higher than staff’s last assessment.2022-04-13T14:09:59+00:00enAssessing global potential output growth and the US neutral rate: April 20222022-04-13ToTEM III: The Bank of Canada’s Main DSGE Model for Projection and Policy Analysis
https://www.bankofcanada.ca/2021/06/technical-report-119/
ToTEM III is the most recent generation of the Bank of Canada’s main dynamic stochastic general equilibrium model for projection and policy analysis. The model helps Bank staff tell clear and coherent stories about the Canadian economy’s current state and future evolution.2021-06-28T08:50:52+00:00enToTEM III: The Bank of Canada’s Main DSGE Model for Projection and Policy Analysis2021-06-28Business fluctuations and cyclesEconomic modelsHousingInterest ratesMonetary policyTechnical Report 2021-119https://www.bankofcanada.ca/wp-content/uploads/2021/06/tr119.pdfTechnical Report 2021-119Paul CorriganHélène DesgagnésJosé DorichVadym LepetyukWataru MiyamotoYang ZhangJune 2021EE1E17E2E20E3E30E4E40E5E50E6E62E65FF4F40F41GG5G51Can regulating bank capital help prevent and mitigate financial downturns?
https://www.bankofcanada.ca/2021/06/staff-analytical-note-2021-12/
Countercyclical capital buffers are regulatory measures developed in response to the global financial crisis of 2008–09. This note focuses on how time-varying capital buffers can improve financial stability in Canada2021-06-01T14:00:43+00:00enCan regulating bank capital help prevent and mitigate financial downturns?2021-06-01