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How do changes to personal and corporate income tax rates in the United States affect its trading partners? Spillover effects from cuts in the two taxes differ. They are generally small and negative for corporate taxes, but sizable and positive for personal income taxes.

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.

The neutral nominal policy rate serves as a benchmark for assessing the degree of monetary stimulus and provides a medium- to long-run anchor for the policy rate. Since quantitative measures of the neutral rate are subject to considerable uncertainty, Bank staff rely on four different approaches to estimate the Canadian neutral rate.

This paper provides a novel methodology for estimating option pricing models based on risk-neutral moments. We synthesize the distribution extracted from a panel of option prices and exploit linear relationships between risk-neutral cumulants and latent factors within the continuous time affine stochastic volatility framework.

We study how input-output networks affect the speed of technology adoption. In particular, we model the decision to adopt the programming language Python 3 by software packages. Python 3 provides advanced features but is not backward compatible with Python 2, which implies it comes with adoption costs.

We study optimal monetary policy in an analytically tractable Heterogeneous Agent New Keynesian model. In the model, the central bank has an incentive to reduce consumption inequality in addition to keeping economic activity at its efficient level and inflation stable.

Should a CBDC be more like cash or bank deposits? An interest-bearing, cash-like CBDC not only makes payments more efficient but also increases total demand. This has positive effects on other transactions, inducing more deposit taking and lending and, thus, bank intermediation.

At the Pittsburgh Summit in 2009, G20 countries announced their commitment to clear all standardized over-the-counter (OTC) derivatives through central counterparties (CCPs). Since then, CCPs have become increasingly important and there has been an extensive program of regulatory enhancements to both them and OTC derivatives markets.

Analyzing TransUnion data from 2015–2024, this study identifies a systematic timeline of distress where rising credit utilization and non-mortgage arrears precede mortgage delinquency by up to two years. This deterioration intensifies in the final six months, providing a robust suite of high-frequency indicators for monitoring emerging household stress.

Forecasts of the price of crude oil play a significant role in the conduct of monetary policy, especially for commodity producers such as Canada. This article presents a range of recently developed forecasting models that, when pooled together, can generate, on average, more accurate forecasts of the price of oil than the oil futures curve. It also illustrates how policy-makers can evaluate the risks associated with the baseline oil price forecast and how they can determine the causes of past oil price fluctuations.