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Learning in Cities

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  • Glaeser, Edward L.

Abstract

Alfred Marshall argues that industrial agglomerations exist in part because individuals can" learn skills from each other when they live and work in close proximity to one another. An" increasing amount of evidence suggests that the informational role of cities is a primary reason for" their continued existence. This paper formalizes Marshall's theory in a model where individuals" acquire skills by interacting with one another, and dense urban areas increase the speed of" interactions. The model predicts that cities will have a higher mean and higher variance of skills." Cities will attract young people who are not too risk averse and who benefit most from learning" (e.g. more patient people). Older, more skilled workers will stay in cities only if they can" internalize some of the benefits that their presence creates for young people. The level of" urbanization will rise when the demand for skills rises, when the ability to learn by imitation rises or when the level of health in the economy rises. Empirical evidence on urban wages supports the" learning view of cities and a variety of other implications of the theory are corroborated" empirically.

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Bibliographic Info

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

Volume (Year): 46 (1999)
Issue (Month): 2 (September)
Pages: 254-277

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Handle: RePEc:eee:juecon:v:46:y:1999:i:2:p:254-277

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

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References

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  1. Jovanovic, Boyan & Rob, Rafael, 1989. "The Growth and Diffusion of Knowledge," Review of Economic Studies, Wiley Blackwell, vol. 56(4), pages 569-82, October.
  2. Jess Gaspar & Edward L. Glaeser, 1996. "Information Technology and the Future of Cities," Harvard Institute of Economic Research Working Papers 1756, Harvard - Institute of Economic Research.
  3. Gary S. Becker & Kevin M. Murphy, 1994. "The Division of Labor, Coordination Costs, and Knowledge," NBER Chapters, in: Human Capital: A Theoretical and Empirical Analysis with Special Reference to Education (3rd Edition), pages 299-322 National Bureau of Economic Research, Inc.
  4. Jaffe, Adam B & Trajtenberg, Manuel & Henderson, Rebecca, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, MIT Press, vol. 108(3), pages 577-98, August.
  5. James E. Rauch, 1991. "Productivity Gains From Geographic Concentration of human Capital: Evidence From the Cities," NBER Working Papers 3905, National Bureau of Economic Research, Inc.
  6. repec:fth:stanho:e-94-11 is not listed on IDEAS
  7. Murphy, Kevin M & Welch, Finis, 1992. "The Structure of Wages," The Quarterly Journal of Economics, MIT Press, vol. 107(1), pages 285-326, February.
  8. Glaeser, Edward L & Mare, David C, 2001. "Cities and Skills," Journal of Labor Economics, University of Chicago Press, vol. 19(2), pages 316-42, April.
  9. Edward L. Glaeser & Hedi D. Kallal & Jose A. Scheinkman & Andrei Shleifer, 1991. "Growth in Cities," NBER Working Papers 3787, National Bureau of Economic Research, Inc.
    • Glaeser, Edward Ludwig & Kallal, Hedi D. & Scheinkman, Jose A. & Shleifer, Andrei, 1992. "Growth in Cities," Scholarly Articles 3451309, Harvard University Department of Economics.
  10. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
  11. Henderson, Vernon & Kuncoro, Ari & Turner, Matt, 1995. "Industrial Development in Cities," Journal of Political Economy, University of Chicago Press, vol. 103(5), pages 1067-90, October.
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