This paper studies how prices comove across products, firms and locations to gauge the relative importance of retailer versus manufacturer-level shocks in determining prices. I make use of a large panel data set on prices for a cross-section of retailers in the U.S. I analyze prices at the...

The national terms of trade, defined as the ratio of an export price index to an import price index has been extensively studied empirically. In this paper we construct an alternative measure, which we call the consumption terms of trade. This measure recognizes the fact that consumers and firms...

This paper studies how prices comove across products, firms and locations to gauge the relative importance of retailer versus manufacturer-level shocks in determining prices. I make use of a large panel data set on prices for a cross-section of retailers in the U.S. I analyze prices at the...

The national terms of trade, defined as the ratio of an export price index to an import price index has been extensively studied empirically. In this paper we construct an alternative measure, which we call the consumption terms of trade. This measure recognizes the fact that consumers and firms...

This paper provides a general framework for integration of high-frequency intraday data into the measurement forecasting of daily and lower frequency volatility and return distributions. Most procedures for modeling and forecasting financial asset return volatilities, correlations, and...

The stochastic process for earnings is the key element of incomplete markets models in modern quantitative macroeconomics. We show that a simple modification of the canonical process used in the literature leads to a dramatic improvement in the measurement of earnings dynamics in administrative...

We present an econometric method for estimating the parameters of a diffusion model from discretely sampled data. The estimator is transparent, adaptive, and inherits the asymptotic properties of the generally unattainable maximum likelihood estimator. We use this method to estimate a new...

This paper provides a general framework for integration of high-frequency intraday data into the measurement forecasting of daily and lower frequency volatility and return distributions. Most procedures for modeling and forecasting financial asset return volatilities, correlations, and...

This paper uses long-run real price and dividends series to investigate for the German stock market the questions asked of the U.S. market by Shiller (1989). It tries to determine in what periods and to what degree the German stock market has also possessed excess volatility' in the past...

The stochastic process for earnings is the key element of incomplete markets models in modern quantitative macroeconomics. We show that a simple modification of the canonical process used in the literature leads to a dramatic improvement in the measurement of earnings dynamics in administrative...