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

Location Modelling and the Localization of Portuguese Manufacturing Industries

  • Paulo Guimarães

    ()

  • Octávio Figueiredo

    ()

  • Douglas Woodward

The recent index proposed in Ellison & Glaeser (1997) is now well established as the preferred method for measuring localization of economic activity. We critically review this index and build on the McFadden’s Random Utility (Profit) Maximization framework to develop an alternative measure that is more consistent with the theoretical construct underlying the original work of Ellison and Glaeser. Given that our method is regression based it goes beyond the descriptive nature of the EG index and allows us to evaluate how the localization measure behaves with changes in the systematic forces that drive firms’ location decisions. JEL classification: C25, R12, R39

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-sre.wu-wien.ac.at/ersa/ersaconfs/ersa04/PDF/28.pdf
Download Restriction: no

Paper provided by European Regional Science Association in its series ERSA conference papers with number ersa04p28.

as
in new window

Length:
Date of creation: Aug 2004
Date of revision:
Handle: RePEc:wiw:wiwrsa:ersa04p28
Contact details of provider: Postal: Welthandelsplatz 1, 1020 Vienna, Austria
Web page: http://www.ersa.org

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. Mata, Jose & Portugal, Pedro & Guimaraes, Paulo, 1995. "The survival of new plants: Start-up conditions and post-entry evolution," International Journal of Industrial Organization, Elsevier, vol. 13(4), pages 459-481, December.
  2. Figueiredo, Octavio & Guimaraes, Paulo & Woodward, Douglas, 2002. "Home-field advantage: location decisions of Portuguese entrepreneurs," Journal of Urban Economics, Elsevier, vol. 52(2), pages 341-361, September.
  3. Guimaraes, Paulo & Figueiredo, Octavio & Woodward, Douglas, 2000. "Agglomeration and the Location of Foreign Direct Investment in Portugal," Journal of Urban Economics, Elsevier, vol. 47(1), pages 115-135, January.
  4. Devereux, Michael P. & Griffith, Rachel & Simpson, Helen, 2002. "The Geographical Distribution of Production Activity in the UK," CEPR Discussion Papers 3627, C.E.P.R. Discussion Papers.
  5. Duranton, Gilles & Overman, Henry G, 2002. "Testing for Localization Using Micro-Geographic Data," CEPR Discussion Papers 3379, C.E.P.R. Discussion Papers.
  6. Lu�s M B Cabral & Jos� Mata, 2003. "On the Evolution of the Firm Size Distribution: Facts and Theory," American Economic Review, American Economic Association, vol. 93(4), pages 1075-1090, September.
  7. Coughlin, Cletus C & Terza, Joseph V & Arromdee, Vachira, 1991. "State Characteristics and the Location of Foreign Direct Investment within the United States," The Review of Economics and Statistics, MIT Press, vol. 73(4), pages 675-83, November.
  8. Paulo Guimaraes & Octavio Figueiredo & Douglas Woodward, 2000. "A tractable approach to the firm location decision problem," NIMA Working Papers 2, Núcleo de Investigação em Microeconomia Aplicada (NIMA), Universidade do Minho.
  9. 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.
  10. Keith Head & John Ries & Deborah Swenson, 1994. "Agglomeration Benefits and Location Choice: Evidence from Japanese Manufacturing Investment in the United States," NBER Working Papers 4767, National Bureau of Economic Research, Inc.
  11. 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.
  12. Carlton, Dennis W, 1983. "The Location and Employment Choices of New Firms: An Econometric Model with Discrete and Continuous Endogenous Variables," The Review of Economics and Statistics, MIT Press, vol. 65(3), pages 440-49, August.
  13. Guy Dumais & Glenn Ellison & Edward L. Glaeser, 2002. "Geographic Concentration As A Dynamic Process," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 193-204, May.
  14. repec:cup:cbooks:9780521788304 is not listed on IDEAS
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:wiw:wiwrsa:ersa04p28. 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: (Gunther Maier)

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.