Uncertainty is a ubiquitous concern emphasized by policymakers. We study how uncertainty affects decision-making by the Federal Open Market Committee (FOMC). We distinguish between the notion of Fed-managed uncertainty vis-a-vis uncertainty that emanates from within the economy and which the Fed...

This paper characterizes the optimal taxation of top earners in a world with externalities. It takes a reduced-form approach that spans a broad class of models where top earners create externalities on the economy. The model allows for a flexible relationship between top earnings and the...

Positive assortative matching refers to the tendency of individuals with similar characteristics to form partnerships. Measuring the extent to which assortative matching differs between two economies is challenging when the marginal distributions of the characteristic along which sorting takes...

We present evidence that noisy financial flows influence financial conditions and macroeconomic activity. How should monetary policy respond to this noise? We develop a model where it is optimal for the central bank to target and (partially) stabilize financial conditions beyond their direct...

In his papers during the lead up to the birth of the European Monetary Union, Obstfeld considered whether the countries forming the EMU were sufficiently similar to survive a single monetary policy--and more importantly, whether they had the capacity to adjust to asymmetric shocks given a single...

In 2018, the US launched a trade war with China, an abrupt departure from its historical leadership in integrating global markets. By late 2019, the US had tariffed roughly $350 billion of Chinese imports, and China had retaliated on $100 billion US exports. Economists have used a diversity of...

We study the performance of many traditional and novel, text-based variables for in-sample and out-of-sample forecasting of oil spot, futures, and energy company stock returns, and changes in oil volatility, production, and inventories. After controlling for small-sample biases, we find evidence...

We propose an approach to modeling and estimating discrete choice demand that allows for a large number of zero sale observations, rich unobserved heterogeneity, and endogenous prices. We do so by modeling small market sizes through Poisson arrivals. Each of these arriving consumers then solves...

Measurement errors are often a large source of bias in survey data. Lack of knowledge of the determinants of such errors makes it difficult for data producers to reduce the extent of errors and for data users to assess the validity of analyses using the data. We study the determinants of...

Startups in IT and life sciences appear to be flourishing. However, startups in other sectors, such as new materials, automation, and eco-innovations, which are often called "deep tech", seem to struggle. We argue that innovations with both technical and commercial challenges, typical of deep...