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Modeling industrial location decisions in U.S. counties

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  • Guimaraes, Paulo
  • Figueiredo, Octávio
  • Woodward, Douglas

Abstract

Given its sound theoretical underpinnings, the Random Utility Maximization-based conditional logit model has been the methodological basis for applied research on industrial location decisions. However, in practice, the implementation of this methodology presents problems. A notable one is the underlying Independence of Irrelevant Alternatives (IIA) assumption. In this paper we show that by taking advantage of an equivalence relation between the likelihood function of the conditional logit model and the Poisson regression [Guimarães, Figueiredo and Woodward (2002)] one can more effectively control for the potential IIA violation resulting from omitted attribute characteristics. We also provide an empirical illustration, wherein we exemplify how that relation can be helpful to investigate the location determinants of new manufacturing plants in the United States counties.

Suggested Citation

  • Guimaraes, Paulo & Figueiredo, Octávio & Woodward, Douglas, 2002. "Modeling industrial location decisions in U.S. counties," ERSA conference papers ersa02p060, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa02p060
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    6. Pe'er, Aviad & Vertinsky, Ilan, 2008. "Firm exits as a determinant of new entry: Is there evidence of local creative destruction?," Journal of Business Venturing, Elsevier, vol. 23(3), pages 280-306, May.
    7. Elvira Lima & David K. Whynes, 2003. "Finance and performance of Portuguese hospitals," NIMA Working Papers 20, Núcleo de Investigação em Microeconomia Aplicada (NIMA), Universidade do Minho.
    8. Pedro Portugal & Ana Rute Cardoso, 2001. "Disentangling the minimum wage puzzle: an analysis of job accessions and separations from a longitudinal matched employer- employee data set," NIMA Working Papers 9, Núcleo de Investigação em Microeconomia Aplicada (NIMA), Universidade do Minho.
    9. Min Zhou & Man Yuan & Yaping Huang & Kaixuan Lin, 2021. "Effects of Institutions on Spatial Patterns of Manufacturing Industries and Policy Implications in Metropolitan Areas: A Case Study of Wuhan, China," Land, MDPI, Open Access Journal, vol. 10(7), pages 1-16, July.
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    11. Elisabet Viladecans Marsal & Josep Maria Arauzo Carod, "undated". "Industrial Location at the Intra-metropolitan Level: A Negative Binomial Approach," Studies on the Spanish Economy 224, FEDEA.
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    More about this item

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R39 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other

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