Showing results 1 to 6 of approximately 6.(refine search)
The role of two frictions in geographic price dispersion: when market friction meets nominal rigidity
This paper empirically investigates and theoretically derives the implications of two frictions, market friction and nominal rigidity, on the dynamic properties of intra-national relative prices, with an emphasis on the interaction of the two frictions. By analyzing a panel of retail prices of 45 products for 48 cities in the U.S., we make two major arguments. First, the effect of each type of friction on the dynamics of intercity price gaps is quite different. While market frictions arising from physical distance and transportation costs contribute significantly to volatile and persistent ...
Consuming price differences persist among eight Texas cities
The differences in what consumers pay for a given product in eight Texas cities increased considerably in the 2000s?Dallas being by far the most expensive city in the sample. A strong price adjustment mechanism, however, ensures that the relative price between any two Texas locations tended to rapidly revert to its mean value
Mean Group Distributed Lag Estimation of Impulse Response Functions in Large Panels
This paper develops Mean Group Distributed Lag (MGDL) estimation of impulse responses in large panels with one or two cross-section dimensions. Sufficient conditions for asymptotic consistency and asymptotic normality are derived, and satisfactory small sample performance is documented using Monte Carlo experiments. MGDL estimators are used to estimate the effects of crude oil price increases on U.S. city- and product-level retail prices.
Estimating Impulse Response Functions When the Shock Series Is Observed
We compare the finite sample performance of a variety of consistent approaches to estimating Impulse Response Functions (IRFs) in a linear setup when the shock of interest is observed. Although there is no uniformly superior approach, iterated approaches turn out to perform well in terms of root mean-squared error (RMSE) in diverse environments and sample sizes. For smaller sample sizes, parsimonious specifications are preferred over full specifications with all ?relevant? variables.
Geographic Inequality of Economic Well-being among U.S. Cities: Evidence from Micro Panel Data
We analyze the geographic inequality of economic well-being among U.S. cities by utilizing a novel measure of quantity based product-level economic well-being, i.e., the number of goods and services that can be purchased by consumers with an average city wage. We find a considerable cross-city dispersion in the economic well-being and the geographic dispersion has been on the steady rise since the mid-1990s for most goods and services under study. Strong geographic correlations exist in the local economic well-being and our empirical analysis based on a Global VAR (GVAR) model suggests that ...
How Do Housing Markets Affect Local Consumer Prices? – Evidence from U.S. Cities
Analyzing city-level retail price data for a variety of consumer products, we find that house price changes lead local consumer price changes, but not vice versa. The transmission of the house price changes differs substantially across locations and products. It also hinges on the nature of housing market shocks; housing supply shocks propagate through the cost-push channel via local cost and markup effects, while housing demand shocks transmit through conventional wealth and collateral effects. Our findings suggest that housing may exert greater impacts on the local cost-of-living and ...