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How to Better Measure Hedonic Residential Property Price Indexes / / Mick Silver



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Autore: Silver Mick Visualizza persona
Titolo: How to Better Measure Hedonic Residential Property Price Indexes / / Mick Silver Visualizza cluster
Pubblicazione: Washington, D.C. : , : International Monetary Fund, , 2016
Descrizione fisica: 1 online resource (89 pages) : illustrations (some color), tables
Disciplina: 339.31
Soggetto topico: Housing - Prices - Mathematical models
Hedonic damages - Mathematical models
Inflation (Finance)
Investments: Metals
Inflation
Macroeconomics
Real Estate
Index Numbers and Aggregation
leading indicators
Prices, Business Fluctuations, and Cycles: General (includes Measurement and Data)
Price Level
Deflation
Housing Supply and Markets
Nonagricultural and Nonresidential Real Estate Markets
Metals and Metal Products
Cement
Glass
Ceramics
Property & real estate
Investment & securities
Price indexes
Land prices
Consumer price indexes
Silver
Prices
Commodities
Housing
Leading indicators
Soggetto geografico: United States
Nota di bibliografia: Includes bibliographical references.
Sommario/riassunto: Hedonic regressions are used for property price index measurement to control for changes in the quality-mix of properties transacted. The paper consolidates the hedonic time dummy approach, characteristics approach, and imputation approaches. A practical hedonic methodology is proposed that (i) is weighted at a basic level; (ii) has a new (quasi-) superlative form and thus mitigates substitution bias; (iii) is suitable for sparse data in thin markets; and (iv) only requires the periodic estimation of hedonic regressions for reference periods and is not subject to the vagrancies of misspecification and estimation issues.
Titolo autorizzato: How to Better Measure Hedonic Residential Property Price Indexes  Visualizza cluster
ISBN: 1-4755-5529-6
1-4755-5533-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910155014003321
Lo trovi qui: Univ. Federico II
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Serie: IMF Working Papers; Working Paper ; ; No. 2016/213