Measuring business cycles by saving for a rainy day

We propose a simple saving-based measure of the cyclical component in GDP. The measure is motivated by the prediction that the representative consumer changes savings in response to temporary deviations of income from its stochastic trend, while satisfying a present-value budget constraint. To evaluate our procedure, we employ the bivariate error correction model of Cochrane (1994) to the member countries of the G-7 and Australia. Our estimates reveal, that to a close approximation, the stochastic trend component of GDP is consumption and the transitory component is the error correction term, which justifies the use of our saving-based measure.Business cycles ; Saving and investment ; Gross domestic product ; Consumer behavior

A model of international cities: implications for real exchange rates

We develop a model of cities each inhabited by two agents, one specializing in manufacturing, the other in retail distribution. The distribution sector represents the physical transformation of all internationally traded goods from the factory gate to the final consumer. Using a panel of micro-prices at the city level, we decompose the cross-sectional variance of long-run LOP deviations into the fraction due to distribution costs, trade costs and a residual. For the median good, trade costs account for 50 percent of the variance, distribution costs account for 10 percent with 40 percent of the variance unexplained. Since the sample of items in the data are heavily skewed toward traded goods, we also decompose the variance based on the median good on an expenditure-weighted basis. Now the tables turn, with distribution costs accounting for 43 percent, trade costs 36 percent and 21 percent of the variance unexplained.Foreign exchange ; Pricing

Accounting for Real Exchange Rates Using Micro-data

The classical dichotomy predicts that all of the time series variance in the aggregate real exchange rate is accounted for by non-traded goods in the CPI basket because traded goods obey the Law of One Price. In stark contrast, Engel (1999) found that traded goods had comparable volatility to the aggregate real exchange rate. Our work reconciles these two views by successfully applying the classical dichotomy at the level of intermediate inputs into the production of final goods using highly disaggregated retail price data. Since the typical good found in the CPI basket is about equal parts traded and non-traded inputs, we conclude that the classical dichotomy applied to intermediate inputs restores its conceptual value.

Price dispersion: The role of distance, borders and location

We study deviations from the Law-of-One-Price using microeconomic data on the retail prices of approximately 220 individual goods and services across 122 cities located in 79 countries over the period from 1990 to 2000.

Noisy Information, Distance and Law of One Price Dynamics Across US Cities

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 information can predict the relationship between the volatility and distance but not between the persistence and distance. To account for the latter fact, we augment the standard model with noisy signals about the state of nominal aggregate demand that are asymmetric across cities. We further establish that the interaction of imperfect information and sticky prices improves the fit of the model.

Accounting for Persistence and Volatility of Good-level Real Exchange Rates: The Role of Sticky Information

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 replicate the time-series properties of the law- of-one-price deviations. We extend their sticky price model by combining good specific price adjustment with information stickiness in the sense of Mankiw and Reis (2002). Under a reasonable assumption on the money growth process, we show that the model fully explains both persistence and volatility of the good-level real exchange rates. Furthermore, our framework allows for multiple cities within a country. Using a panel of U.S.- Canadian city pairs, we estimate a dynamic price adjustment process for each 165 individual goods. The empirical result suggests that the dispersion of average time of information update across goods is comparable to that of average time of price adjustment.Good-level Real Exchange Rates, Law of One Price, Sticky Information, Dynamic Panel