Employing a large number of financial indicators, we use Bayesian Model Averaging (BMA) to forecast real-time measures of economic activity. The indicators include credit spreads based on portfolios--constructed directly from the secondary market prices of outstanding bonds--sorted by maturity...

We analyze retail prices and at-the-dock (import) prices of specific items in the Bureau of Labor Statistics' (BLS) CPI and IPP databases, using both databases simultaneously to identify items that are identical in description at the dock and when sold at retail. This identification allows us to...

We examine the forecasting performance of standard macro models of exchange rates in real time, using dozens of different vintages of the OECD's Main Economic Indicators database. We calculate out-of-sample forecasts as they would have been made at the time, and compare them to a random walk...

While much empirical work has addressed the role of monetary policy shocks in exchange rate behavior, conclusions have been clouded by the lack of plausible identifying assumptions. We apply a recently developed inference procedure allowing us to relax dubious identifying assumptions. This work...

Many recent papers have studied movements in stock, bond, and currency prices over short windows of time around macro announcements. This paper adds to the announcement effects literature in two ways. First, we study the joint announcement effects across a broad range of assets--exchange rates...

The Federal Reserve Act erected a unique structure of government decision­making, independent with elaborate rules balancing internal power. Historical evidence suggests that this outcome was a response to public conflict over inflation's redistributive powers. This paper documents and...

This paper examines variations on a baseline Fair-Taylor algorithm used to solve multi-country, rational expectations models. One notable feature of these variations is the ability to exploit small-scale distributed processing using a network of workstations or PCs. Using four processors to...

Many recent papers have tried to identify behavioral disturbances in vector autoregressions (VAR's) by imposing restrictions on the long-run effects of shocks. This paper argues that this approach will support reliable struc­tured inferences only if the underlying economy satisfies strong...

We define and study transparency, credibility, and reputation in a model where the central bank's characteristics are unobservable to the private sector and are inferred from the policy outcome. A low-credibility bank optimally conducts a more inflationary policy than a high-credibility bank, in...

We examine a central bank's endogenous choice of degree of control and degree of transparency, under both commitment and discretion. Under commitment, we find that the deliberate choice of sloppy control is far less likely under a standard central-bank loss function than reported for a...