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Building Spatial Choice Models from Aggregate Data

Tommi Orpana and Jouko Lampinen

Journal of Regional Science, 2003, vol. 43, issue 2, 319-348

Abstract: Abstract 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.

Date: 2003
References: View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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https://doi.org/10.1111/1467-9787.00301

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Persistent link: https://EconPapers.repec.org/RePEc:bla:jregsc:v:43:y:2003:i:2:p:319-348

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Journal of Regional Science is currently edited by Marlon G. Boarnet, Matthew Kahn and Mark D. Partridge

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