Volatile and persistent real exchange rates are observed not only in aggregate series but also in the individual good level data. Kehoe and Midrigan (2007) recently showed that, under a standard assumption on nominal price stickiness, empirical frequencies of micro-price adjustment cannot...

We study the dynamics of good-by-good real exchange rates using a micro-panel of 270 goods prices drawn from major cities in 63 countries and 258 goods prices drawn from 13 major U.S. cities. We find the half-life of deviations from the Law-of-One-Price for the average good is about 1 year. The...

We study the dynamics of good-by-good real exchange rates using a micro-panel of 270 goods prices drawn from major cities in 71 countries and 245 goods prices drawn from 13 major U.S. cities. We find half-lives of deviations from the Law-of-One-Price for the average good is about 1 year;...

We introduce the real exchange rate volatility curve as a useful device to understand the relationship between price stickiness and the fluctuations in Law of One Price deviations. In the presence of both nominal and real shocks, the theory predicts that the real exchange rate volatility curve...

We introduce the real exchange rate volatility curve as a useful device to understand the role of price stickiness in accounting for deviations from the Law of One Price at the sector level. In the presence of both nominal and real shocks, the theory predicts that the real exchange rate...

Using micro price data across US cities, we provide evidence that both the volatility and persistence of deviations from the law of one price (LOP) are positively correlated with the distance between cities. A standard, two-city, equilibrium model with time- varying technology under homogeneous...

Using US micro price data at the city level, we provide evidence that both the volatility and the persistence of deviations from the law of one price (LOP) are rising in the distance between US cities. A standard, two-city, stochastic equilibrium model with trade costs can predict the...