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The Hedonic Regression Time-Dummy Method and the Monotonicity Axioms

Bibliographic Data

ID19419307
AuthorsDaniel Melser (0000-0003-0452-818X, UNSW Sydney, corresponding author)
Year2005
Volume23
Issue4
Pages485-492
Publication date2005-10-01
Open AccessNo
TypeARTICLE
VenueJournal of Business and Economic Statistics (JOURNAL)
Journal identifiersISSN: 0735-0015 • E-ISSN: 1537-2707
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1198/073500104000000578
OpenAlexW1973774409
LanguageEN
References cited11

This article demonstrates that the well-known and much applied hedonic regression time-dummy method, used to construct quality-adjusted price indexes, fails the monotonicity axioms from index theory. The article outlines the hedonic time-dummy method and defines the monotonicity axioms in this context. A simple numerical example is used to illustrate the failure of monotonicity. The reasons for this failure are identified and discussed. The frequency of the violation of monotonicity is considered in general and investigated for a particular dataset. The article concludes by considering the seriousness of the failure of monotonicity and briefly discusses an alternative hedonic method that satisfies monotonicity

Axiom · Econometrics · Economics · Mathematical economics · Monotonic function · Seriousness · Advanced Statistical Methods and Models · Computer Science · Economics of Agriculture and Food Markets · Efficiency Analysis Using DEA · Mathematics

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    Robert C Feenstra•The Review of Economics and…•1995

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    Reg Ward, Robert J Gordon•The Economic Journal•1991

Highly citedNo

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