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

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  • Fingleton, Bernard
  • Longhi, Simonetta

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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File URL: http://repo.sire.ac.uk/handle/10943/276
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Bibliographic Info

Paper provided by Scottish Institute for Research in Economics (SIRE) in its series SIRE Discussion Papers with number 2011-35.

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Date of creation: 2011
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Handle: RePEc:edn:sirdps:276

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

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  1. Tony Venables, 2010. "Productivity in cities: self-selection and sorting," Economics Series Working Papers 507, University of Oxford, Department of Economics.
  2. J. A. Hausman & W. E. Taylor, 1980. "Panel Data and Unobservable Individual Effects," Working papers 255, Massachusetts Institute of Technology (MIT), Department of Economics.
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  4. David Roodman, 2007. "A Note on the Theme of Too Many Instruments," Working Papers 125, Center for Global Development.
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  6. Pierre-Philippe COMBES & Gilles DURANTON & Laurent GOBILLON, 2010. "The Identification of Agglomeration Economies," Working Papers 2010-52, Centre de Recherche en Economie et Statistique.
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  9. Pierre-Philippe Combes & Gilles Duranton & Henry Overman, 2005. "Agglomeration and the Adjustment of the Spatial Economy," CEP Discussion Papers dp0689, Centre for Economic Performance, LSE.
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  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. Enrique Lopez-Bazo & Bernard Fingleton, 2003. "Explaining the distribution of manufacturing productivity in the EU regions," ERSA conference papers ersa03p197, European Regional Science Association.
  18. 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.
  19. 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.
  20. 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.
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Cited by:
  1. Zierahn, Ulrich, 2012. "The effect of market access on the labor market: Evidence from German reunification," HWWI Research Papers 131, Hamburg Institute of International Economics (HWWI).

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