This paper disentangles fluctuations in disaggregated prices due to macroeconomic and sectoral conditions using a factor-augmented vector autoregression estimated on a large data set. On the basis of this estimation, we establish eight facts: (1) Macroeconomic shocks explain only about 15% of...

This paper characterizes the transmission mechanism of monetary shocks across countries of the euro area, documents how this mechanism has changed with the introduction of the euro, and explores some potential explanations. The factor-augmented VAR (FAVAR) framework used is sufficiently rich to...

Crop production is subject to supply shocks, and both expected and realized outputs as well as output prices are unknown when inputs are chosen. The process by which producers form expectations is difficult to model, especially when working with aggregate data. We present a necessary and...

The "loans for shares" scheme of 1995-6--in which a handful of well-connected businessmen bought stakes in major Russian companies--is widely considered a scandal that slowed subsequent Russian economic growth. Fifteen years later, I reexamine the details of the program. In light of evidence...

We study the efficiency of internal capital markets at state-controlled and privately owned business groups in China. Using highly granular data on within-group capital flows, we document stark differences: while private groups allocate more capital to units with better investment opportunities,...

This paper describes a method for calculating daily real-time estimates of the current state of the U.S. economy. The estimates are computed from data on scheduled U.S. macroeconomic announcements using an econometric model that allows for variable reporting lags, temporal aggregation, and other...

Forecasting using `diffusion indices' has received a good deal of attention in recent years. The idea is to use the common factors estimated from a large panel of data to help forecast the series of interest. This paper assesses the extent to which the forecasts are influenced by (i) how the...

This paper presents a new multivariate copula-based modeling approach for analyzing cost-offsets between drug and nondrug expenditures. Estimates are based on panel data from the Medical Expenditure Panel Survey (MEPS) with quarterly measures of medical expenditures. The approach allows for...

This paper discusses inference for rational expectations models estimated via minimum distance methods by characterizing the probability beliefs regarding the data generating process (DGP) that are compatible with given moment conditions. The null hypothesis is taken to be rational expectations...

We propose several connectedness measures built from pieces of variance decompositions, and we argue that they provide natural and insightful measures of connectedness among financial asset returns and volatilities. We also show that variance decompositions define weighted, directed networks, so...