Exploiting time series of the cost of a staples basket across 75 Russian regions over 1994-2000, price linkages of the regions are analyzed with the use of Granger causality as a tool. Price linkages of Russian regions are found extensive: on average, an individual regional market is linked through prices with 62% of others. Neither isolated clusters of regions nor autarkic regions are revealed; each region is linked with all others either directly or indirectly, through a chain of no more than two intermediate regions. Spatial autocorrelation is found to be widespread, taking place in two thirds of regions.
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Length: pages Date of creation: 01 Sep 2006 Date of revision: Handle: RePEc:wdi:papers:2006-839
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Find related papers by JEL classification: C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions P22 - Economic Systems - - Socialist Systems and Transition Economies - - - Prices P23 - Economic Systems - - Socialist Systems and Transition Economies - - - Factor and Product Markets; Industry Studies; Population R12 - Urban, Rural, and Regional Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
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