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Natural disasters occur more often than before, potentially exposing households to financial distress. We study the intersection between household financial vulnerabilities and severe weather events.

This paper summarizes the literature on the performance of various extended monetary policy tools when conventional policy rates are constrained by the effective lower bound. We highlight issues that may arise when these tools are used by central banks of small open economies.

Nonresponse is a considerable challenge in the Retailer Survey on the Cost of Payment Methods conducted by the Bank of Canada in 2015. There are two types of nonresponse in this survey: unit nonresponse, in which a business does not reply to the entire survey, and item nonresponse, in which a business does not respond to particular questions within the survey.

We build upon new developments in the international trade literature to isolate and quantify the long-run economic impacts of tariff changes on the United States and the global economy.

We evaluate, both empirically and theoretically, the spillover effects that debt-financed fiscal policy interventions of the United States have on other economies. We consider a two-country model with international portfolio rebalancing effects. We show that US fiscal expansions would increase global long-term rates and hinder economic activity in the rest of the world.

Privacy-enhancing technologies (PETs) could offer solutions to safeguard end-user privacy and meet rigorous data protection standards for central bank digital currencies. We consider how PETs can transform privacy design in financial systems and the implications of their broader adoption.

How can macroprudential policy and monetary policy stabilize segmented credit markets? Is there a trade-off between financial stability and price stability? I use a theoretical model to evaluate the performance of alternative policies and find the optimal mix of macroprudential and monetary policy in response to aggregate shocks.

This paper develops Monte Carlo likelihood-ratio tests for determining the number of regimes in Markov switching models. Unlike most existing procedures, which focus on testing one versus two regimes, the proposed methods allow testing an arbitrary number of regimes. They are valid in finite samples, robust to identification problems, and applicable to nonstationary, multivariate, and Markov switching GARCH models.

Worst-case analysis is used among financial regulators in the wake of the recent financial crisis to gauge the tail risk. We provide insight into worst-case analysis and provide guidance on how to estimate it. We derive the bias for the non-parametric heavy-tailed order statistics and contrast it with the semi-parametric extreme value theory (EVT) approach.

Central banks’ actions to stabilize financial markets and implement monetary policy during crises may come with costs and side effects. We provide a literature review of these costs and discuss measures that may mitigate the negative impacts of crisis actions.