C68 - Computable General Equilibrium Models
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Learning in a Complex World: Insights from an OLG Lab Experiment
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. -
Quantum Monte Carlo for Economics: Stress Testing and Macroeconomic Deep Learning
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. -
Transition Scenarios for Analyzing Climate-Related Financial Risk
Climate transition scenarios clarify climate-related risks to our economy and financial system. This paper summarizes key results of Canada-relevant scenarios developed in a pilot project on climate risk by the Bank of Canada and the Office of the Superintendent of Financial Institutions. -
Scenario Analysis and the Economic and Financial Risks from Climate Change
This paper adapts climate-economy models that have been applied in other contexts for use in climate-related scenario analysis. We consider illustrative scenarios for the global economy that could generate economic and financial risks. Our results suggest there are significant economic risks from climate change and the move to a low-carbon economy. -
IMPACT: The Bank of Canada’s International Model for Projecting Activity
We present the structure and features of the International Model for Projecting Activity (IMPACT), a global semi-structural model used to conduct projections and policy analysis at the Bank of Canada. Major blocks of the model are developed based on the rational error correction framework of Kozicki and Tinsley (1999), which allows the model to strike a balance between theoretical structure and empirical performance. -
Should Central Banks Worry About Nonlinearities of their Large-Scale Macroeconomic Models?
How wrong could policymakers be when using linearized solutions to their macroeconomic models instead of nonlinear global solutions? -
Introducing the Bank of Canada's Projection Model for the Global Economy
To complement its existing set of tools to analyze and forecast developments in the global economy, the Bank of Canada recently developed a version of the Global Projection Model (GPM) jointly with staff at the International Monetary Fund. -
The Bank of Canada's Version of the Global Economy Model (BoC-GEM)
The Bank of Canada's version of the Global Economy Model (BoC-GEM) is derived from the model created at the International Monetary Fund by Douglas Laxton (IMF) and Paolo Pesenti (Federal Reserve Bank of New York and National Bureau of Economic Research).