Staff research
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Equilibrium in Two-Sided Markets for Payments: Consumer Awareness and the Welfare Cost of the Interchange Fee
We construct and estimate a structural two-stage model of equilibrium in a market for payments in order to quantify the network externalities and identify the main determinants of consumer and merchant decisions. -
Job Ladder and Business Cycles
During downturns, workers get stuck in low-productivity jobs and wages remain stagnant. I build an heterogenous agent incomplete market model with a full job ladder that accounts for these facts. An adverse financial shock calibrated to the US Great Recession replicates the period’s slow recovery and missing disinflation. -
Vertical Bargaining and Obfuscation
Is obscuring prices always bad for consumers? The answer depends on the market structure and on the negotiating power between manufacturers and retailers. -
COVID-19, Containment and Consumption
We assess the impact of COVID-19 on consumption indicators by estimating the effects of government-mandated containment measures and of the willingness of individuals to voluntarily physically distance to prevent contagion. -
Household Heterogeneity and the Performance of Monetary Policy Frameworks
Consumption inequality and a low interest rate environment are two important trends in today’s economy. But the implications they may have—and how those implications interact—within different monetary policy frameworks are not well understood. We study the ranking of alternative frameworks that take these trends into account. -
The Central Bank Strikes Back! Credibility of Monetary Policy under Fiscal Influence
Central banks in many advanced economies enjoy a high degree of independence, which protects monetary policy decisions from political influence. But how should independent central banks react if pressured by fiscal policy-makers? We examine whether a central bank should design a monetary policy framework that prescribes acting conditionally on how fiscal policy behaves. -
Macroeconomic Predictions Using Payments Data and Machine Learning
We demonstrate the usefulness of payment systems data and machine learning models for macroeconomic predictions and provide a set of econometric tools to overcome associated challenges. -
Central Bank Liquidity Facilities and Market Making
We create a theoretical model of central bank asset purchases. The model helps explain how, in a crisis, these purchases ease pressures on investment dealers. -
Dynamic Privacy Choices
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.