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Measuring the Localization of Economic Activity: A Random Utility Approach Author info | Abstract | Publisher info | Download info | Related research | Statistics Paulo Guimarães () (Universidade do Minho and CEMPRE)
Octávio Figueiredo () (CEMPRE, Faculdade de Economia da Universidade do Porto)
Douglas Woodward (University of South Carolina)
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The recent index proposed by Ellison & Glaeser (1997) is now well established as the preferred method for measuring the localization of economic activity. We build on McFadden's Random Utility (Profit) Maximization framework, to develop a parametric version of this measure that is more consistent with the theory originally proposed by Ellison and Glaeser (EG). Given that our method is regression based, it goes beyond the descriptive nature of the EG index, allowing us to evaluate how the localization measure behaves with changes in the determinants that drive firms' location decisions.
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Paper provided by Universidade do Porto, Faculdade de Economia do Porto in its series FEP Working Papers with number
161.
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Length: 36 pages.
Date of creation: Oct 2004Date of revision:
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Find related papers by JEL classification: C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models R12 - Urban, Rural, and Regional Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography) R39 - Urban, Rural, and Regional Economics - - Production Analysis and Firm Location - - - Other
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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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