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An Evaluation Of The Use Of Hedonic Regressions For Basic Components Of Consumer Price Indices

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  • Mick Silver

Abstract

The importance of adjusting for quality changes in the measurement of consumer prices, and the role hedonic regressions can play in achieving this, is well recognised. However, the use of such regressions can take different forms, including (i) adjustments by statistical offices for non‐comparable substitutions via the matched models method, (ii) direct estimates from the coefficients on dummy variables for time, and (iii) exact hedonic and superlative indices corresponding to a constant utility formulation from an economic theoretic approach. The literature on these approaches generally deals with each in isolation; the purpose of this paper is to outline and evaluate them in order to draw conclusions as to their practical suitability for the compilation of quality‐adjusted consumer prices indexes. The case is argued for a move towards the last of these approaches, which developments in electronic data retrieval (scanner data) now make feasible. The paper concludes with the results of some empirical work comparing the results of the direct method with those from the exact, superlative, approach.

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  • Mick Silver, 1999. "An Evaluation Of The Use Of Hedonic Regressions For Basic Components Of Consumer Price Indices," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 45(1), pages 41-56, March.
    • Handle: RePEc:bla:revinw:v:45:y:1999:i:1:p:41-56
    DOI: 10.1111/j.1475-4991.1999.tb00311.x
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    Cited by:

    1. David Boto-García & Veronica Leoni, 2023. "The Economic Value of Coastal Amenities: Evidence from Beach Capitalization Effects in Peer-to-Peer Markets," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(2), pages 529-557, February.
    2. David Prentice & Xiangkang Yin, 2000. "Measuring Quality-Adjusted Inflation Rates for a Heterogeneous Oligopoly," Working Papers 2000.06, School of Economics, La Trobe University.
    3. Kimitaka Nishitani & Munehiko Itoh, 2014. "Product Innovation in Response to Environmental Standards and Competitive Advantage: A Hedonic Analysis of Refrigerators in the Japanese Retail Market," Discussion Paper Series DP2014-30, Research Institute for Economics & Business Administration, Kobe University.
    4. Ana M. Aizcorbe, 2003. "The stability of dummy variable price measures obtained from hedonic regressions," Finance and Economics Discussion Series 2003-05, Board of Governors of the Federal Reserve System (U.S.).
    5. Mick Silver, 2016. "How to Better Measure Hedonic Residential Property Price Indexes," IMF Working Papers 2016/213, International Monetary Fund.
    6. Mick Silver & Saeed Heravi, 2004. "Hedonic Price Indexes and the Matched Models Approach," Manchester School, University of Manchester, vol. 72(1), pages 24-49, January.
    7. Robert J Hill, 2004. "Inflation Measurement for Central Bankers," RBA Annual Conference Volume (Discontinued), in: Christopher Kent & Simon Guttmann (ed.),The Future of Inflation Targeting, Reserve Bank of Australia.
    8. W. Erwin Diewert, 2003. "Hedonic Regressions. A Consumer Theory Approach," NBER Chapters, in: Scanner Data and Price Indexes, pages 317-348, National Bureau of Economic Research, Inc.
    9. Alegre, Joaquín & Sard, Maria, 2015. "When demand drops and prices rise. Tourist packages in the Balearic Islands during the economic crisis," Tourism Management, Elsevier, vol. 46(C), pages 375-385.
    10. Ludwig Von Auer & John Brennan, 2007. "Bias and inefficiency in quality-adjusted hedonic regression analysis," Applied Economics, Taylor & Francis Journals, vol. 39(1), pages 95-107.
    11. Lorraine Ivancic & Kevin J. Fox, 2013. "Understanding Price Variation Across Stores and Supermarket Chains: Some Implications for CPI Aggregation Methods," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 59(4), pages 629-647, December.
    12. Alicia N. Rambaldi & D.S. Prasada Rao, 2013. "Econometric Modeling and Estimation of Theoretically Consistent Housing Price Indexes," CEPA Working Papers Series WP042013, School of Economics, University of Queensland, Australia.
    13. Ramírez Muñoz de Toro, Gonzalo R. & Uriarte, Juan I. & Delbianco, Fernando & Larrosa, Juan M.C., 2017. "Un modelo hedónico de precios en línea de automóviles usados en Argentina || A Hedonic Model of Online Prices of Used Cars in Argentina," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 24(1), pages 25-53, Diciembre.

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