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This paper studies the implications of model uncertainty for wealth distribution in a tractable general equilibrium model with a borrowing constraint and robustness à la Hansen and Sargent (2008). Households confront model uncertainty about the process driving the return of the risky asset, and they choose robust policies.

Estimation of the quantile model, especially with a large data set, can be computationally burdensome. This paper proposes using the Gaussian approximation, also known as quantile coupling, to estimate a quantile model.

Payments systems play a fundamental role in an economy by providing the mechanisms through which payments arising from transactions can be settled. The existing literature on the economics of payments systems is large but loosely organized, in that each model uses a distinct set-up and sometimes a distinct equilibrium concept.

The author proposes a new test for financial contagion based on a non-parametric measure of the cross-market correlation. The test does not depend on the assumption that the data are drawn from a given probability distribution; therefore, it allows for maximal flexibility in fitting into the data.

This paper studies the steady-state costs of inflation in a general-equilibrium model with real per capita output growth and staggered nominal price and wage contracts.

This paper studies optimal need-based financial aid when parental transfers—unobserved by policymakers—vary across and within families of similar means. Using data on U.S. college students, I document substantial inequality in parental transfers, especially among wealthier families. I then analyze how this affects aid design aimed at reducing inefficiencies from borrowing constraints and the aid itself.

The observed predictability of excess returns in equity and foreign exchange markets has largely been attributed to the presence of time-varying risk premiums in these markets. For example, excess equity returns were found to be explained by various financial and economic variables.

The paper explores the macroeconomic consequences of fiscal consolidations whose timing and composition - either tax- or spending-based - are uncertain.

We use retail payment data in conjunction with machine learning techniques to predict the effects of COVID-19 on the Canadian economy in near-real time. Our model yields a significant increase in macroeconomic prediction accuracy over a linear benchmark model.

This paper studies the relationship between bank holding company affiliation and the individual and systemic risk of banks. Using the 2005 hurricane season in the US as an exogenous shock to bank balance sheets, we show that banks that are part of a holding parent company are more resilient than independent banks.