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...

Monetary policy shocks have a large impact on stock prices during narrow time windows centered around press releases by the FOMC. We use spatial autoregressions to decompose the overall effect of monetary policy shocks into a direct effect and a network effect. We attribute 50 to 85 percent of...

Over the last decade, it has become increasingly popular to use event studies with intraday asset pricing data to study the effect of macroeconomic events on the economy. The proponents of this approach argue that asset prices react to macroeconomic events very quickly and that if we know the...

Interest rate surprises around FOMC announcements reveal both the surprise in the monetary policy stance (the pure policy shock) and interest rate movements driven by exogenous information about the economy from the central bank (the information shock). In order to disentangle the effects 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...