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A non-parametric test for industrial specialization

  • Billings, Stephen B.
  • Johnson, Erik B.
Registered author(s):

    We introduce a non-parametric microdata based test for industrial specialization and apply it to a single urban area. Our test employs establishment densities for specific industries, a population counterfactual, and a new correction for multiple hypothesis testing to determine the statistical significance of specialization across both places and industries. Results highlight patterns of specialization that are extremely varied, with downtown places specializing in a number of service sector industries, while suburban places specialize in both manufacturing and service industries. Business service industries are subject to more specialization than non-business service industries while the manufacturing sector contains the lowest representation of industries with specialized places. Finally, we compare results for specialization with localization and show that both measures contribute to our understanding of industry and place specific agglomerative forces.

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    File URL: http://www.sciencedirect.com/science/article/pii/S0094119011000805
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    Article provided by Elsevier in its journal Journal of Urban Economics.

    Volume (Year): 71 (2012)
    Issue (Month): 3 ()
    Pages: 312-331

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    Handle: RePEc:eee:juecon:v:71:y:2012:i:3:p:312-331
    Contact details of provider: Web page: http://www.elsevier.com/locate/inca/622905

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    1. Duong, Tarn & Hazelton, Martin L., 2005. "Convergence rates for unconstrained bandwidth matrix selectors in multivariate kernel density estimation," Journal of Multivariate Analysis, Elsevier, vol. 93(2), pages 417-433, April.
    2. Duranton, Gilles & Henry G Overman, 2003. "Testing for Localisation Using Micro-Geographic Data," Royal Economic Society Annual Conference 2003 69, Royal Economic Society.
    3. Anderson, Michael L., 2008. "Multiple Inference and Gender Differences in the Effects of Early Intervention: A Reevaluation of the Abecedarian, Perry Preschool, and Early Training Projects," Journal of the American Statistical Association, American Statistical Association, vol. 103(484), pages 1481-1495.
    4. Thomas J. Holmes, 1995. "Localization of industry and vertical disintegration," Staff Report 190, Federal Reserve Bank of Minneapolis.
    5. Glenn Ellison & Edward L. Glaeser & William R. Kerr, 2007. "What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns," Harvard Business School Working Papers 07-064, Harvard Business School.
    6. Gilles Duranton & Henry G Overman, 2006. "Exploring the Detailed Location Patterns of UK Manufacturing Industries using Microgeographic Data," Working Papers tecipa-248, University of Toronto, Department of Economics.
    7. Stuart S. Rosenthal & William C. Strange, 1999. "Geography, Industrial Organization, and Agglomeration," Center for Policy Research Working Papers 14, Center for Policy Research, Maxwell School, Syracuse University.
    8. Ellison, G. & Glaeser, E.L., 1994. "Geographic Concentration in U.S. Manufacturing Industries: A Dartboard Approach," Working papers 94-27, Massachusetts Institute of Technology (MIT), Department of Economics.
    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. Thomas H. Klier & Daniel McMillen, 2006. "Evolving agglomeration in the U.S. auto supplier industry," Working Paper Series WP-06-20, Federal Reserve Bank of Chicago.
    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.
    12. Jeffrey R Kling & Jeffrey B Liebman & Lawrence F Katz, 2007. "Experimental Analysis of Neighborhood Effects," Econometrica, Econometric Society, vol. 75(1), pages 83-119, 01.
    13. Ross, Stephen L. & Turner, Margery Austin & Godfrey, Erin & Smith, Robin R., 2008. "Mortgage lending in Chicago and Los Angeles: A paired testing study of the pre-application process," Journal of Urban Economics, Elsevier, vol. 63(3), pages 902-919, May.
    14. Mohammad Arzaghi & J. Vernon Henderson, 2008. "Networking off Madison Avenue," Review of Economic Studies, Oxford University Press, vol. 75(4), pages 1011-1038.
    15. Tarn Duong & Martin L. Hazelton, 2005. "Cross-validation Bandwidth Matrices for Multivariate Kernel Density Estimation," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 32(3), pages 485-506.
    16. Thomas J. Holmes & John J. Stevens, 2002. "Geographic Concentration and Establishment Scale," The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 682-690, November.
    17. Holmes, Thomas J. & Stevens, John J., 2004. "Spatial distribution of economic activities in North America," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 63, pages 2797-2843 Elsevier.
    18. McMillen, Daniel P., 2001. "Nonparametric Employment Subcenter Identification," Journal of Urban Economics, Elsevier, vol. 50(3), pages 448-473, November.
    19. Redfearn, Christian L., 2007. "The topography of metropolitan employment: Identifying centers of employment in a polycentric urban area," Journal of Urban Economics, Elsevier, vol. 61(3), pages 519-541, May.
    20. Joseph P. Romano & Michael Wolf, 2003. "Stepwise multiple testing as formalized data snooping," Economics Working Papers 712, Department of Economics and Business, Universitat Pompeu Fabra.
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