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Clustering of auto supplier plants in the U.S.: GMM spatial logit for large samples

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  • Thomas H. Klier
  • Daniel P. McMillen

Abstract

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.

Suggested Citation

  • Thomas H. Klier & Daniel P. McMillen, 2005. "Clustering of auto supplier plants in the U.S.: GMM spatial logit for large samples," Working Paper Series WP-05-18, Federal Reserve Bank of Chicago.
    • Handle: RePEc:fip:fedhwp:wp-05-18
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    2. T. Randall Fortenbery & Steven C. Deller & Lindsay Amiel, 2013. "The Location Decisions of Biodiesel Refineries," Land Economics, University of Wisconsin Press, vol. 89(1), pages 118-136.
    3. Jørn Rattsø & Jon Hernes Fiva, 2005. "Decentralization with Property Taxation to Improve Incentives: Evidence from Local Governments’ Discrete Choice," Working Paper Series 5305, Department of Economics, Norwegian University of Science and Technology, revised 02 Sep 2005.
    4. Michael Carroll & Neil Reid & Bruce Smith, 2008. "Location quotients versus spatial autocorrelation in identifying potential cluster regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(2), pages 449-463, June.
    5. Whitacre, Brian E. & Mahasuweerachai, Phumsith, 2008. "“Small” Broadband Providers and Federal Assistance Programs: Solving the Digital Divide?," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 38(3), pages 1-15.
    6. Jason P. Brown & Raymond J.G.M. Florax & Kevin T. McNamara, 2008. "Evolution Of Investment Flows In U.S. Manufacturing:A Spatial Panel Approach," Working Papers 08-06, Purdue University, College of Agriculture, Department of Agricultural Economics.
    7. Chandra Bhat & Ipek Sener, 2009. "A copula-based closed-form binary logit choice model for accommodating spatial correlation across observational units," Journal of Geographical Systems, Springer, vol. 11(3), pages 243-272, September.

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    Automobile supplies industry;

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