Advanced Search
MyIDEAS: Login

A numerical estimation method for discrete choice models with non-linear externalities

Contents:

Author Info

  • Giulio Bottazzi
  • Ugo Gragnolati
  • Fabio Vanni

Abstract

A stochastic discrete choice model and its related estimation method are presented which allow to disentangle non-linear externalities from the intrinsic features of the objects of choice and from the idiosyncratic preferences of agents. Having veried for the ergodicity of the underlying stochastic process, parameter estimates are obtained through numerical methods and so is their statistical signicance. In particular, optimization rests on successive parabolic interpolation. Finally, the model and its related estimation method are applied to the case of rm localization using Italian sectoral census data.

Download Info

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.lem.sssup.it/WPLem/files/2014-01.pdf
Download Restriction: no

Bibliographic Info

Paper provided by Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy in its series LEM Papers Series with number 2014/01.

as in new window
Length:
Date of creation: 01 2014
Date of revision:
Handle: RePEc:ssa:lemwps:2014/01

Contact details of provider:
Postal: Piazza dei Martiri della Liberta, 33, 56127 Pisa
Phone: +39-50-883343
Fax: +39-50-883344
Email:
Web page: http://www.lem.sssup.it/
More information through EDIRC

Related research

Keywords: Externalities; Heterogeneity; Computational methods; Firm localization;

This paper has been announced in the following NEP Reports:

References

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 G. Overman, 2005. "Testing for Localization Using Micro-Geographic Data," Review of Economic Studies, Oxford University Press, vol. 72(4), pages 1077-1106.
  2. Desmet, Klaus & Fafchamps, Marcel, 2004. "Employment Concentration Across US Counties," CEPR Discussion Papers 4689, C.E.P.R. Discussion Papers.
  3. Maurel, Francoise & Sedillot, Beatrice, 1999. "A measure of the geographic concentration in french manufacturing industries," Regional Science and Urban Economics, Elsevier, vol. 29(5), pages 575-604, September.
  4. Jaibi, M. Raouf & ten Raa, Thijs, 1998. "An asymptotic foundation for logit models," Regional Science and Urban Economics, Elsevier, vol. 28(1), pages 75-90, January.
  5. Glenn Ellison & Edward L. Glaeser, 1994. "Geographic Concentration in U.S. Manufacturing Industries: A Dartboard Approach," NBER Working Papers 4840, National Bureau of Economic Research, Inc.
  6. 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.
  7. Henderson, J. Vernon, 2003. "Marshall's scale economies," Journal of Urban Economics, Elsevier, vol. 53(1), pages 1-28, January.
  8. Giulio Bottazzi & Giovanni Dosi & Giorgio Fagiolo & Angelo Secchi, 2007. "Modeling industrial evolution in geographical space," Journal of Economic Geography, Oxford University Press, vol. 7(5), pages 651-672, September.
  9. Edward L. Glaeser & Glenn Ellison, 1999. "The Geographic Concentration of Industry: Does Natural Advantage Explain Agglomeration?," American Economic Review, American Economic Association, vol. 89(2), pages 311-316, May.
  10. Arthur, W. Brian, 1990. "'Silicon Valley' locational clusters: when do increasing returns imply monopoly?," Mathematical Social Sciences, Elsevier, vol. 19(3), pages 235-251, June.
  11. Giulio Bottazzi & Ugo Gragnolati, 2010. "Cities and clusters: economy-wide and sector-specific effects in corporate location," LEM Papers Series 2010/16, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  12. Rosenthal, Stuart S. & Strange, William C., 2001. "The Determinants of Agglomeration," Journal of Urban Economics, Elsevier, vol. 50(2), pages 191-229, September.
Full references (including those not matched with items on IDEAS)

Citations

Lists

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

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:ssa:lemwps:2014/01. 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: ().

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.