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We study a government policy that restricts repayment choices with the aim of reducing credit card debt and estimate its effects by applying a difference-in-differences methodology to comprehensive credit-reporting data about Canadian consumers. We find the policy has trade-offs: reducing revolving debt comes at a cost of reducing credit access, and potentially increasing delinquency.

There is a close link between prices of equity options and the default probability of a firm. We show that in the presence of positive expected equity recovery, standard methods that assume zero equity recovery at default misestimate the option-implied default probability.

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.

Consumers often express concerns about lack of privacy, but they still give up a lot of data to digital platforms. This paper builds a dynamic game-theoretic model of data collection and privacy protection, which potentially explains consumers’ behaviour.

The 2007–09 global financial crisis has led policy-makers around the world, including central banks, to refocus their efforts to promote financial stability. As part of this process, central banks became quite active in supporting financial stability in a variety of ways, such as publicly sharing their assessments of financial system vulnerabilities and risks and helping to strengthen regulation, supervision and macroprudential measures.

We develop a production-network model to capture how decentralized finance (DeFi) has evolved across different sectors of financial services. The model allows us to measure the value added by different DeFi sectors and to study how the connections across the sectors influence token prices.

A consumer discloses information to a multi-product seller, which learns about the consumer’s preferences, sets prices, and makes product recommendations. While the consumer benefits from accurate product recommendations, the seller may use the information to price discriminate.

I quantify the importance of changes in household preferences on household inflation rates using 11 years of scanner data for 11,000 US households. My results suggest that changes in household preferences are an important driver of inflation dynamics at the household level.

I study how banking market concentration and reliance on wholesale funding affect monetary policy transmission to mortgage rates. I find that this transmission is imperfect and dampens the response of consumption, output, and housing prices.

This paper studies exchange rate dynamics by incorporating bounded rationality, that is, limited foresight, in a small open-economy model. This behavior of limited foresight helps explain several observations and puzzles in the data of exchange rate movements.