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The effects of agglomeration on wages: evidence from the micro-level

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  • Bernard Fingleton

    ()
    (Department of Economics, University of Strathclyde)

  • Simonetta Longhi

    ()
    (Institute for Social and Economic Research (ISER), University of Essex.)

Abstract

This paper estimates individual wage equations in order to test two rival non-nested theories of economic agglomeration, namely New Economic Geography (NEG), as represented by the NEG wage equation and urban economic (UE) theory , in which wages relate to employment density. The paper makes an original contribution by evidently being the first empirical paper to examine the issue of agglomeration processes associated with contemporary theory working with micro-level data, highlighting the role of gender and other individual-level characteristics. For male respondents, there is no significant evidence that wage levels are an outcome of the mechanisms suggested by NEG or UE theory, but this is not the case for female respondents. We speculate on the reasons for the gender difference.

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Bibliographic Info

Paper provided by University of Strathclyde Business School, Department of Economics in its series Working Papers with number 1124.

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Length: 25 pages
Date of creation: May 2011
Date of revision:
Handle: RePEc:str:wpaper:1124

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Keywords: urban economics; new economic geography; household panel data.;

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References

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  1. Hausman, Jerry A & Taylor, William E, 1981. "Panel Data and Unobservable Individual Effects," Econometrica, Econometric Society, vol. 49(6), pages 1377-98, November.
  2. Pierre Philippe Combes & GillesDuranton & Henry G.Overman, 2005. "Agglomeration And The Adjustment Of The Spatial Economy," DOCUMENTOS CEDE 001953, UNIVERSIDAD DE LOS ANDES-CEDE.
  3. Redding, Stephen & Venables, Anthony J., 2004. "Economic geography and international inequality," Journal of International Economics, Elsevier, vol. 62(1), pages 53-82, January.
  4. Steven Brakman & Harry Garretsen & Charles van Marrewijk, 2009. "Economic Geography within and between European Nations: The Role of Market Potential and Density across Space and Time," CESifo Working Paper Series 2658, CESifo Group Munich.
  5. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, 02.
  6. Pierre-Philippe Combes & Gilles Duranton & Laurent Gobillon, 2010. "The Identification of Agglomeration Economies," Working Papers halshs-00535593, HAL.
  7. Bernard Fingleton, 2004. "The new economic geography versus urban economics : an evaluation using local wage rates in Great Britain," ERSA conference papers ersa04p638, European Regional Science Association.
  8. Harry Garretsen & Ron Martin, 2011. "The Journal of Economic Geography a decade on: where do we go from here?," Journal of Economic Geography, Oxford University Press, vol. 11(2), pages 207-213, March.
  9. Antonio Ciccone & Robert E. Hall, 1995. "Productivity and the density of economic activity," Economics Working Papers 120, Department of Economics and Business, Universitat Pompeu Fabra.
  10. Harry Garretsen & Ron Martin, 2010. "Rethinking (New) Economic Geography Models: Taking Geography and History More Seriously," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(2), pages 127-160.
  11. Marco Francesconi & Holly Sutherland & Francesca Zantomio, 2011. "A comparison of earnings measures from longitudinal and cross‐sectional surveys: evidence from the UK," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(2), pages 297-326, 04.
  12. Enrique Lopez-Bazo & Bernard Fingleton, 2003. "Explaining the distribution of manufacturing productivity in the EU regions," ERSA conference papers ersa03p197, European Regional Science Association.
  13. Mark E Schaffer & Steven Stillman, 2006. "XTOVERID: Stata module to calculate tests of overidentifying restrictions after xtreg, xtivreg, xtivreg2, xthtaylor," Statistical Software Components S456779, Boston College Department of Economics, revised 02 Nov 2011.
  14. Mark E Schaffer, 2005. "XTIVREG2: Stata module to perform extended IV/2SLS, GMM and AC/HAC, LIML and k-class regression for panel data models," Statistical Software Components S456501, Boston College Department of Economics, revised 24 Jul 2012.
  15. Anthony J. Venables, 2011. "Productivity in cities: self-selection and sorting," Journal of Economic Geography, Oxford University Press, vol. 11(2), pages 241-251, March.
  16. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-29, October.
  17. Bernard Fingleton, 2005. "Towards applied geographical economics: modelling relative wage rates, incomes and prices for the regions of Great Britain," Applied Economics, Taylor & Francis Journals, vol. 37(21), pages 2417-2428.
  18. Bernard Fingleton, 2011. "The empirical performance of the NEG with reference to small areas," Journal of Economic Geography, Oxford University Press, vol. 11(2), pages 267-279, March.
  19. Maarten Bosker & Harry Garretsen, 2010. "Trade costs in empirical New Economic Geography," Papers in Regional Science, Wiley Blackwell, vol. 89(3), pages 485-511, 08.
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Cited by:
  1. Ulrich Zierahn, 2012. "The effect of market access on the labor market: Evidence from German reunification," MAGKS Papers on Economics 201239, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).

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