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Modeling industrial location decisions in U.S. counties Author info | Abstract | Publisher info | Download info | Related research | Statistics Guimaraes, Paulo ()
Figueiredo, Octávio ()
Woodward, Douglas ()
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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.
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Paper provided by European Regional Science Association in its series ERSA conference papers with number
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Date of creation: Aug 2002Date of revision:
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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.: Guimaraes, Paulo & Figueiredo, Octavio & Woodward, Douglas, 2000.
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Elisabet Viladecans Marsal & Josep Maria Arauzo Carod, .
"Industrial Location at the Intra-metropolitan Level: A Negative Binomial Approach ,"
Studies on the Spanish Economy
224, FEDEA.
[Downloadable!]
Other versions: Frances Ruane & Xiaoheng Zhang, 2007.
"Location Choices of the Pharmaceutical Industry in Europe after 1992 ,"
The Institute for International Integration Studies Discussion Paper Series
iiisdp220, IIIS.
[Downloadable!]
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