C - Mathematical and Quantitative Methods
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Shaping the future: Policy shocks and the GDP growth distribution
Can central bank and government policies impact the risks around the outlook for GDP growth? We find that fiscal stimulus makes strong GDP growth more likely—even more so when monetary policy is constrained—rather than weak GDP growth less likely. Thus, fiscal stimulus should accelerate the recovery phase of the COVID-19 pandemic. -
Detecting exuberance in house prices across Canadian cities
We introduce a model to detect periods of extrapolative house price expectations across Canadian cities. The House Price Exuberance Indicator can be updated on a quarterly basis to support the Bank of Canada’s broader assessment of housing market imbalances. -
Evolving Temperature Dynamics in Canada: Preliminary Evidence Based on 60 Years of Data
Are summers getting hotter? Do daily temperatures change more than they used to? Using daily Canadian temperature data from 1960 to 2020 and modern econometric methods, we provide economists and policy-makers evidence on the important climate change issue of evolving temperatures. -
How Long is Forever in the Laboratory? Three Implementations of an Infinite-Horizon Monetary Economy
Standard monetary models adopt an infinite horizon with discounting. Testing these models in the lab requires implementing this horizon within a limited time frame. We compare three approaches to such an implementation and discuss their relative advantages. -
Occasionally Binding Constraints in Large Models: A Review of Solution Methods
Solving macroeconomic models is difficult. One challenge is the occasionally binding constraint of the zero lower bound on nominal interest rates. This paper reviews various ways to solve models that include this feature. -
A Generalized Endogenous Grid Method for Default Risk Models
Models with default options are hard to solve. We propose an extension of the endogenous grid method that solves default risk models more efficiently and accurately. -
Cash and COVID-19: The Effects of Lifting Containment Measures on Cash Demand and Use
Using Bank Note Distribution System data on the demand for cash up to September 2020, we find that demand was strong. This is true even though cash use for payments declined early in the pandemic. When mobility restrictions and lockdown measures were eased, cash use for payments increased sharply but remained less popular than electronic methods of payment. -
Estimating Policy Functions in Payments Systems Using Reinforcement Learning
We demonstrate the ability of reinforcement learning techniques to estimate the best-response functions of banks participating in high-value payments systems—a real-world strategic game of incomplete information. -
(Optimal) Monetary Policy with and without Debt
How should policy be designed at high debt levels, when fiscal authorities have little room to adjust taxes? Assigning the monetary authority a role in achieving debt sustainability makes it less effective in stabilizing inflation and output.