Advanced Search
MyIDEAS: Login

Clustering of Auto Supplier Plants in the United States

Contents:

Author Info

  • Klier, Thomas
  • McMillen, Daniel P

Abstract

A linearized logit version of Pinkse and Slade's spatial GMM estimator reduces estimation to two steps—standard logit followed by two-stage least squares. Linearization produces a model that can be estimated using large datasets. Monte Carlo experiments suggest that the linearized model accurately identifies the presence of spatial effects and is capable of producing accurate estimates of marginal effects. In an application to the location of supplier plants in the U.S. auto industry, the results imply no additional clustering of new plants beyond the level of clustering of existing plant locations.

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://pubs.amstat.org/doi/abs/10.1198/073500107000000188
File Function: full text
Download Restriction: Access to full text is restricted to subscribers.

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.

Bibliographic Info

Article provided by American Statistical Association in its journal Journal of Business and Economic Statistics.

Volume (Year): 26 (2008)
Issue (Month): ()
Pages: 460-471

as in new window
Handle: RePEc:bes:jnlbes:v:26:y:2008:p:460-471

Contact details of provider:
Web page: http://www.amstat.org/publications/jbes/index.cfm?fuseaction=main

Order Information:
Web: http://www.amstat.org/publications/index.html

Related research

Keywords:

References

No references listed on IDEAS
You can help add them by filling out this form.

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. Lei, J., 2013. "Smoothed Spatial Maximum Score Estimation of Spatial Autoregressive Binary Choice Panel Models," Discussion Paper 2013-061, Tilburg University, Center for Economic Research.
  2. Lambert, Dayton M. & Brown, Jason P. & Florax, Raymond J.G.M., 2010. "A two-step estimator for a spatial lag model of counts: Theory, small sample performance and an application," Regional Science and Urban Economics, Elsevier, vol. 40(4), pages 241-252, July.
  3. Raffaella Calabrese & Johan A. Elkink, 2012. "Estimators of Binary Spatial Autoregressive Models: A Monte Carlo Study," Working Papers 201215, Geary Institute, University College Dublin.
  4. Haiqing Xu, 2010. "Social Interactions: A Game Theoretic Approach," Department of Economics Working Papers 130914, The University of Texas at Austin, Department of Economics.
  5. Li, Man & Wu, JunJie & Deng, Xiangzheng, 2011. "Unintended effects of urbanization in China: Land use spillovers and soil carbon loss," IFPRI discussion papers 1138, International Food Policy Research Institute (IFPRI).
  6. Jacobs, Jan & Samarina, Anna & Heijnen, Pim & Elhorst, Paul, 2013. "State transfers at different moments in time: A spatial probit approach," Research Report 13006-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
  7. Shelley M. Kimelberg & Elizabeth Williams, 2013. "Evaluating the Importance of Business Location Factors: The Influence of Facility Type," Growth and Change, Gatton College of Business and Economics, University of Kentucky, vol. 44(1), pages 92-117, 03.

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:bes:jnlbes:v:26:y:2008:p:460-471. 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: (Christopher F. Baum).

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.