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Hedonic regressions: an application to VCRs using scanner data

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  • Silver, Mick

Abstract

This study provides results for an hedonic regression for VCRs in the UK using relatively exhaustive scanner (bar-code) data. Specific issues addressed are sample selectivity bias, given a substantial proportion of the models have limited sales, incorporation of a proxy for the price-cost margin, the bundling of characteristics in new models and the incorporation of models of different vintages coexisting in the market. In particular it is shown that current formulations of vintage effects could prove misleading and more complex non-linear representations specific to individual makes are found to be quite successful. In addition an effect specific to the season (month) of launch is identified.

Suggested Citation

  • Silver, Mick, 2000. "Hedonic regressions: an application to VCRs using scanner data," Omega, Elsevier, vol. 28(4), pages 399-408, August.
    • Handle: RePEc:eee:jomega:v:28:y:2000:i:4:p:399-408
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    References listed on IDEAS

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    1. Feenstra, Robert C, 1995. "Exact Hedonic Price Indexes," The Review of Economics and Statistics, MIT Press, vol. 77(4), pages 634-653, November.
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    6. Nelson, Randy A & Tanguay, Tim L & Patterson, Christopher D, 1994. "A Quality-Adjusted Price Index for Personal Computers," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(1), pages 23-31, January.
    7. Arguea, N M & Hsiao, C & Taylor, G A, 1994. "Estimating Consumer Preferences Using Market Data--An Application to U.S. Automobile Demand," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 9(1), pages 1-18, Jan.-Marc.
    8. Ernst R. Berndt & Zvi Griliches & Neal Rappaport, 1993. "Econometric Estimates of Prices Indexes for Personal Computers in the 1990s," NBER Working Papers 4549, National Bureau of Economic Research, Inc.
    9. Lerner, Josh, 1995. "Pricing and Financial Resources: An Analysis of the Disk Drive Industry, 1980-88," The Review of Economics and Statistics, MIT Press, vol. 77(4), pages 585-598, November.
    10. Neil Gandal, 1994. "Hedonic Price Indexes for Spreadsheets and an Empirical Test for Network Externalities," RAND Journal of Economics, The RAND Corporation, vol. 25(1), pages 160-170, Spring.
    11. Rea, John D, 1978. "Indeterminacy of the Chow Test When the Number of Observations is Insufficient," Econometrica, Econometric Society, vol. 46(1), pages 229-229, January.
    12. Combris, Pierre & Lecocq, Sebastien & Visser, Michael, 1997. "Estimation for a Hedonic Price Equation for Bordeaux Wine: Does Quality Matter?," Economic Journal, Royal Economic Society, vol. 107(441), pages 390-402, March.
    13. Mick Silver, 1995. "Elementary Aggregates, Micro‐Indices And Scanner Data: Some Issues In The Compilation Of Consumer Price Indices," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 41(4), pages 427-438, December.
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    Cited by:

    1. Osman Gulseven & Michael Wohlgenant, 2015. "A quality-based approach to estimating quantitative elasticities for differentiated products: an application to retail milk demand," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(5), pages 2077-2096, September.
    2. Ruben Chumpitaz & Kristiaan Kerstens & Nicholas Paparoidamis & Matthias Staat, 2010. "Hedonic price function estimation in economics and marketing: revisiting Lancaster’s issue of “noncombinable” goods," Annals of Operations Research, Springer, vol. 173(1), pages 145-161, January.
    3. Daniel Melser & Iqbal A. Syed, 2013. "Prices over the Product Life Cycle: Implications for Quality-Adjustment and the Measurement of Inflation," Discussion Papers 2013-26, School of Economics, The University of New South Wales.
    4. Wilhelmsson, Mats, 2008. "House price depreciation rates and level of maintenance," Journal of Housing Economics, Elsevier, vol. 17(1), pages 88-101, March.

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    More about this item

    Keywords

    Hedonic regressions VCRs Vintage Scanner data JEL Classification: C43 C81 D12 E31 L15 L68 O47;

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • L68 - Industrial Organization - - Industry Studies: Manufacturing - - - Appliances; Furniture; Other Consumer Durables
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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