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Building Spatial Choice Models from Aggregate Data
Author(s) -
Orpana Tommi,
Lampinen Jouko
Publication year - 2003
Publication title -
journal of regional science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.171
H-Index - 79
eISSN - 1467-9787
pISSN - 0022-4146
DOI - 10.1111/1467-9787.00301
Subject(s) - aggregate (composite) , computer science , estimation , econometrics , aggregate data , spatial analysis , inverse , statistics , economics , mathematics , materials science , composite material , geometry , management
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.