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...

This paper provides an array of empirical evidence bearing on potentially important changes in the dynamics of U.S. inflation. We examine the overall performance of Phillips curves relative to some well-known benchmarks, the efficiency with which the Federal Reserve’s Greenbook forecasts of...

We compare estimates of the New Keynesian Phillips Curve (NKPC) when the curve is specified in two different ways. In the standard difference equation (DE) form, current inflation is a function of past inflation, expected future inflation, and real marginal costs. The alternative closed form...

We illustrate the importance of placing model-consistent restrictions on expectations in the estimation of forward-looking Euler equations. In two-stage limited-information settings where first-stage estimates are used to proxy for expectations, parameter estimates can differ substantially,...

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...