We estimate a multi-country multi-sector New Keynesian model to quantify the drivers of domestic inflation during 2020-2023 in several countries, including the United States. The model matches observed inflation together with sector-level prices and wages. We further measure the relative...

We quantify the role of global production linkages in explaining spillovers of U.S. monetary policy shocks to stock returns across countries and sectors using a newly constructed dataset. Our estimation strategy is based on a standard open-economy production network model that delivers a...

We introduce a dynamic network model with probabilistic link functions that depend on stochastically time-varying parameters. We adopt the widely used blockmodel framework and allow the highdimensional vector of link probabilities to be a function of a low-dimensional set of dynamic factors. The...

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...

This paper considers the problem of making inferences about the effects of a program on multiple outcomes when the assignment of treatment status is imperfectly randomized. By imperfect randomization we mean that treatment status is reassigned after an initial randomization on the basis of...