Clustering of auto supplier plants in the U.S.
Subtitle: GMM spatial logit for large samples
By: Thomas Klier, Daniel P. McMillen
Contributors: McMillen, Daniel P.; Federal Reserve Bank of Chicago. Research Department
Series: Working paper series -- WP-2005-18; Working paper series (Federal Reserve Bank of Chicago. Research Department : Online) -- WP-2005-18.
Publisher: Federal Reserve Bank of Chicago
Published: 2005
Place of publication: Chicago, Ill.]
Language: eng
Format: [electronic resource] :
Subjects: Automobile supplies industry
Description: "A linearized version of Pinkse and Slade's (1998) spatial probit estimator is used to account for the tendency of auto supplier plants to cluster together. By reducing estimation to two steps--standard probit or logit followed by two-stage least squares--linearization produces a model that can be estimated using large datasets. Our results imply significant clustering among older plants. Supplier plants are more likely to be in counties that are near assembly plants, that include interstate highways, and that are near other counties with supplier plants. New plants show no additional tendency toward clustering beyond that shown by older plants."--Federal Reserve Bank of Chicago web site.
Notes: Title from PDF file as viewed on 10/12/2006.

Includes bibliographical references.

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