IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

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.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://www.sciencedirect.com/science/article/pii/S0094119011000805
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

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

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

    as
    in new window

    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

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as in new window
    1. Gilles Duranton & Henry Overman, 2006. "Exploring the Detailed Location Patterns of UK Manufacturing Industries Using Microgeographic Data," CEP Discussion Papers dp0756, Centre for Economic Performance, LSE.
    2. Jeffrey R. Kling & Jeffrey B. Liebman & Lawrence F. Katz, 2005. "Experimental Analysis of Neighborhood Effects," NBER Working Papers 11577, National Bureau of Economic Research, Inc.
    3. William Kerr & Edward Glaeser & Glenn Ellison, 2007. "What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns," Working Papers 07-13, Center for Economic Studies, U.S. Census Bureau.
    4. Joseph P. Romano & Michael Wolf, 2005. "Stepwise Multiple Testing as Formalized Data Snooping," Econometrica, Econometric Society, vol. 73(4), pages 1237-1282, 07.
    5. Ellison, Glenn & Glaeser, Edward L, 1997. "Geographic Concentration in U.S. Manufacturing Industries: A Dartboard Approach," Journal of Political Economy, University of Chicago Press, vol. 105(5), pages 889-927, October.
    6. 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.
    7. Gilles Duranton & Henry G. Overman, 2005. "Testing for localization using micro-geographic data," LSE Research Online Documents on Economics 581, London School of Economics and Political Science, LSE Library.
    8. 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.
    9. 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.
    10. J. Vernon Henderson & Ari Kuncoro & Matthew Turner, 1992. "Industrial Development in Cities," NBER Working Papers 4178, National Bureau of Economic Research, Inc.
    11. Stuart S. Rosenthal & William C. Strange, 2003. "Geography, Industrial Organization, and Agglomeration," The Review of Economics and Statistics, MIT Press, vol. 85(2), pages 377-393, May.
    12. 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.
    13. 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.
    14. 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.
    15. Thomas J. Holmes, 1999. "Localization Of Industry And Vertical Disintegration," The Review of Economics and Statistics, MIT Press, vol. 81(2), pages 314-325, May.
    16. J. Vernon Henderson & Mohammad Arzaghi, 2005. "Networking Off Madison Avenue," Working Papers 05-15, Center for Economic Studies, U.S. Census Bureau.
    17. McMillen, Daniel P., 2001. "Nonparametric Employment Subcenter Identification," Journal of Urban Economics, Elsevier, vol. 50(3), pages 448-473, November.
    18. Stephen L. Ross & Margery Austin Turner & Erin Godfrey & Robin R. Smith, 2005. "Mortgage Lending in Chicago and Los Angeles: A Paired Testing Study of the Pre-Application Process," Working papers 2005-03, University of Connecticut, Department of Economics.
    19. 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.
    20. 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.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:eee:juecon:v:71:y:2012:i:3:p:312-331. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.