In December 2022, following Russia's invasion of Ukraine, a G7-led coalition of countries imposed a $60 per barrel price cap on the sales of Russian oil that use western services. This paper provides a theoretical and quantitative analysis of this new tool. We build a tractable equilibrium model...

The COVID-19 pandemic as well as the Russian invasion of Ukraine have had profound effects on the global energy landscape, with some of the longer-lasting effects still unfolding. This paper discusses how these events have reshaped the supply side of the global oil market by focusing on...

The substantial fluctuations in oil prices in the wake of the COVID-19 pandemic and the Russian invasion of Ukraine have highlighted the importance of tail events in the global market for crude oil which call for careful risk assessment. In this paper we focus on forecasting tail risks in the...

Despite widespread application of real options theory in the literature, the extent to which firms actually delay irreversible investments following an increase in the uncertainty of their environment is not empirically well-known. This paper estimates firms' responsiveness to changes in...

We develop and estimate a model of consumer search with spatial learning. Consumers make inferences from previously searched objects to unsearched objects that are nearby in attribute space, generating path dependence in search sequences. The estimated model rationalizes patterns in data on...

Economics has long studied how consumers respond to the disclosure of information about firms. We study a case in which the disclosed information is unrelated to the product or firm leadership, but which could still potentially affect consumer patronage through the mechanism of repugnance, as...

For decades credit rating agencies were viewed as trusted arbiters of creditworthiness and their ratings as important tools for managing risk. The common narrative is that the value of ratings was compromised by the evolution of the industry to a form where issuers pay for ratings. In this paper...

We propose a general equilibrium model where two special interest groups (SIGs) compete to influence public opinion. Citizens with heterogeneous priors over a binary state of the world receive reports drawn from a continuous message space by a variety of sources. The two opposite SIGs attempt to...

What do machines learn, and why? To answer these questions we import models of human cognition into machine learning. We propose two ways of modeling machine learners based on this join: feasibility-based and cost-based machine learning. We evaluate and estimate our models using a deep learning...

We provide a spatial theory of clean growth to assess the global impact of the rise of renewable energy. We model the details of the combined production and transmission network of electricity ("the grid") that determine the supply and losses of energy in space. The local rate of clean energy...