We study the design of optimal monetary policy in a New Keynesian model with labor turnover costs in which wages are set according to a right to manage bargaining where the firms' counterpart is given by currently employed workers. Our model captures well the salient features of European labor...

The paper examines how the long-run inflation-unemployment tradeoff depends on the degree to which wage-price decisions are backward- versus forward-looking. When economic agents, facing time-contingent, staggered nominal contracts, have a positive rate of time preference, the current wage and...

Distributional consequences typically receive limited attention in economic models that analyze the effects of monetary and financial sector policies. These consequences deserve more attention since financial markets are incomplete, imperfect, and economic agents' access to them is often...

Households' and firms' subjective inflation expectations play a central role in macroeconomic and intertemporal microeconomic models. We discuss how subjective inflation expectations are measured, the patterns they display, their determinants, and how they shape households' and firms' economic...

We study the effects and historical contribution of monetary policy shocks to consumption and income inequality in the United States since 1980. Contractionary monetary policy actions systematically increase inequality in labor earnings, total income, consumption and total expenditures....

Using randomized control trials (RCTs) applied over time in different countries, we study how the economic environment affects how agents learn from new information. We show that as inflation has recently risen in advanced economies, both households and firms have become more attentive and...

We develop a general equilibrium model that highlights the trade-offs between physical and digital forms of retail central bank money. The key differences between cash and central bank digital currency (CBDC) include transaction efficiency, possibilities for tax evasion, and, potentially,...

In this paper, we describe a novel iterative procedure called SISTA to learn the underlying cost in optimal transport problems. SISTA is a hybrid between two classical methods, coordinate descent ("S"-inkhorn) and proximal gradient descent ("ISTA"). It alternates between a phase of exact...