Building Spatial Choice Models from Aggregate Data
Choice model construction is usually based on information about a number of separate choice situations, for which all relevant quantities are known. This paper concerns the case where only higher level, aggregate information is available about the choice results and the prevailing conditions. We demonstrate the applicability of a generic inverse parameter estimation method in estimating a model for grocery store choice. We also propose some enhancements to standard spatial choice models and demonstrate their applicability. Copyright Blackwell Publishing, Inc 2003
Year of publication: |
2003
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Authors: | Orpana, Tommi ; Lampinen, Jouko |
Published in: |
Journal of Regional Science. - Wiley Blackwell, ISSN 0022-4146. - Vol. 43.2003, 2, p. 319-348
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Publisher: |
Wiley Blackwell |
Saved in:
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