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The economic performance of cities: A Markov-switching approach

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  • Owyang, Michael T.
  • Piger, Jeremy M.
  • Wall, Howard J.
  • Wheeler, Christopher H.

Abstract

This paper examines the determinants of employment growth in metro areas. To obtain growth rates, we use a Markov-switching model that separates a city's growth path into two distinct phases (high and low), each with its own growth rate. The simple average growth rate over some period is, therefore, the weighted average of the high-phase and low-phase growth rates, with the weight being the frequency of the two phases. We estimate the effects of a variety of factors separately for the high-phase and low-phase growth rates. Growth in the high phase is related to both human capital and industry mix, while growth in the low phase is related to industry mix only, specifically, the relative importance of manufacturing. Overall, our results strongly reject the notion that city-level characteristics influence employment growth equally across the phases of the business cycle.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Urban Economics.

Volume (Year): 64 (2008)
Issue (Month): 3 (November)
Pages: 538-550

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Handle: RePEc:eee:juecon:v:64:y:2008:i:3:p:538-550

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Web page: http://www.elsevier.com/locate/inca/622905

Related research

Keywords: Growth in cities Business cycle phases;

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References

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Citations

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Cited by:
  1. Andra C. Ghent & Michael T. Owyang, 2009. "Is housing the business cycle? evidence from U.S. cities," Working Papers, Federal Reserve Bank of St. Louis 2009-007, Federal Reserve Bank of St. Louis.
  2. Owyang, Michael T. & Piger, Jeremy & Wall, Howard J., 2013. "Discordant city employment cycles," Regional Science and Urban Economics, Elsevier, Elsevier, vol. 43(2), pages 367-384.
  3. James D. Hamilton & Michael T. Owyang, 2011. "The Propagation of Regional Recessions," NBER Working Papers 16657, National Bureau of Economic Research, Inc.
  4. Kristie M. Engemann & Rubén Hernández-Murillo & Michael T. Owyang, 2008. "Regional aggregation in forecasting: an application to the Federal Reserve's Eighth District," Regional Economic Development, Federal Reserve Bank of St. Louis, Federal Reserve Bank of St. Louis, issue Oct, pages 15-29.
  5. Wall, Howard J., 2013. "The employment cycles of neighboring cities," Regional Science and Urban Economics, Elsevier, Elsevier, vol. 43(1), pages 177-185.
  6. Rubén Hernández-Murillo & Michael T. Owyang & Margarita Rubio, 2013. "Clustered housing cycles," Working Papers, Federal Reserve Bank of St. Louis 2013-021, Federal Reserve Bank of St. Louis.
    • Rubén Hernández-Murillo & Michael T Owyang & Margarita Rubio, 2013. "Clustered Housing Cycles," Discussion Papers 2013/02, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
  7. Leora Friedberg & Michael Owyang & Anthony Webb, 2008. "Identifying Local Differences in Retirement Patterns," Working Papers, Center for Retirement Research at Boston College wp2008-18, Center for Retirement Research, revised Dec 2008.
  8. Francis Neville & Owyang Michael T. & Sekhposyan Tatevik, 2012. "The Local Effects of Monetary Policy," The B.E. Journal of Macroeconomics, De Gruyter, De Gruyter, vol. 12(2), pages 1-38, March.

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