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Urban and regional distinctions for aggregating time series data

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  • Harvey Cutler
  • Scott England
  • Stephan Weiler

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.

Suggested Citation

  • Harvey Cutler & Scott England & Stephan Weiler, 2007. "Urban and regional distinctions for aggregating time series data," Papers in Regional Science, Wiley Blackwell, vol. 86(4), pages 575-595, November.
    • Handle: RePEc:bla:presci:v:86:y:2007:i:4:p:575-595
    DOI: 10.1111/j.1435-5957.2007.00140.x
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    References listed on IDEAS

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    1. Christian DeBresson, 1996. "Economic Interdependence and Innovative Activity," Books, Edward Elgar Publishing, number 870.
    2. Forni, Mario & Paba, Sergio, 2001. "Knowledge Spillovers and the Growth of Local Industries," CEPR Discussion Papers 2934, C.E.P.R. Discussion Papers.
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    Cited by:

    1. Shu‐hen Chiang, 2012. "The sources of metropolitan unemployment fluctuations in the Greater Taipei metropolitan area," Papers in Regional Science, Wiley Blackwell, vol. 91(4), pages 775-793, November.
    2. Ridhwan, M.M. & Nijkamp, P. & Rietveld, P., 2008. "Regional development and monetary policy : a review of the role of monetary unions, capital mobility and locational effects," Serie Research Memoranda 0007, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    3. Edward Nissan & Shahdad Naghshpour, 2014. "Comparing U.S. regions for selected economic and financial variables," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(3), pages 528-540, July.

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