Urban and regional distinctions for aggregating time series data

Harvey Cutler, Scott England and Stephan Weiler

Papers in Regional Science, 2007, vol. 86, issue 4, 575-595

Abstract: Abstract. This article argues that using either the SIC or NAICS one‐digit classifications as a method of aggregating two‐ and three‐digit time series data can ignore important regional characteristics. We present a pairwise cointegration approach of aggregation where the aggregated sectors can vary widely across regions. By systematically constructing region‐specific sectors from more detailed industries, we find that the level of agglomeration across rural and urban areas can affect the composition and number of local sectors in a region. We use the results pointing to rural/urban geographic distinctiveness to further consider the Carlino and Defina (1998, 1999) finding that monetary policy has disparate effects across regions in the U.S.

Date: 2007
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Citations: View citations in EconPapers (3)

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https://doi.org/10.1111/j.1435-5957.2007.00140.x

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Persistent link: https://EconPapers.repec.org/RePEc:bla:presci:v:86:y:2007:i:4:p:575-595

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