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dc.contributor.authorShultz, Steven Dennis.
dc.creatorShultz, Steven Dennis.en_US
dc.date.accessioned2011-10-31T17:59:27Z
dc.date.available2011-10-31T17:59:27Z
dc.date.issued1993en_US
dc.identifier.urihttp://hdl.handle.net/10150/186128
dc.description.abstractThe Hedonic Valuation Method (HVM) was used to estimate the relationship between housing values, open space amenities, and non-residential land uses in the Tucson Urban Area. Using a Geographic Information System, it was possible to estimate a Benchmark Model that incorporated a wide range of open space amenity and land use variables and a complete enumeration of census blocks. Eight alternative model specifications were estimated with: rental values excluded, fewer open space and land use variables, land use data aggregated at different levels of census geography, and incrementally smaller sample sizes. Statistical and economic comparisons between the Benchmark and alternative models included: R² values, standard errors, F-tests, and the magnitude and stability of both marginal implicit prices and housing value elasticities. Results indicate that the exclusion of open space amenity variables, the use of different levels of census geography to aggregate land use data, and the use of samples of census blocks, all have the potential to reduce the quality of HVM estimates.
dc.language.isoenen_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.subjectDissertations, Academic.en_US
dc.subjectGeography.en_US
dc.titleOpen space amenities, land uses, and property values in Tucson: Using a geographic information system to improve hedonic models.en_US
dc.typetexten_US
dc.typeDissertation-Reproduction (electronic)en_US
dc.contributor.chairKing, David A.en_US
dc.identifier.oclc714879882en_US
thesis.degree.grantorUniversity of Arizonaen_US
thesis.degree.leveldoctoralen_US
dc.contributor.committeememberShaw, William E.en_US
dc.contributor.committeememberGuertin, D. Phillipen_US
dc.contributor.committeememberDahlgran, Roger A.en_US
dc.identifier.proquest9322629en_US
thesis.degree.disciplineRenewable Natural Resourcesen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.namePh.D.en_US
refterms.dateFOA2018-07-17T20:04:40Z
html.description.abstractThe Hedonic Valuation Method (HVM) was used to estimate the relationship between housing values, open space amenities, and non-residential land uses in the Tucson Urban Area. Using a Geographic Information System, it was possible to estimate a Benchmark Model that incorporated a wide range of open space amenity and land use variables and a complete enumeration of census blocks. Eight alternative model specifications were estimated with: rental values excluded, fewer open space and land use variables, land use data aggregated at different levels of census geography, and incrementally smaller sample sizes. Statistical and economic comparisons between the Benchmark and alternative models included: R² values, standard errors, F-tests, and the magnitude and stability of both marginal implicit prices and housing value elasticities. Results indicate that the exclusion of open space amenity variables, the use of different levels of census geography to aggregate land use data, and the use of samples of census blocks, all have the potential to reduce the quality of HVM estimates.


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