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The stability of dummy variable price measures obtained from hedonic regressions

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  • Ana M. Aizcorbe

Abstract

Although the stability of coefficients from hedonic regressions has received much attention recently, that of dummy variable (DV) price indexes obtained from these regressions has not. In principle, one problem translates into the other only when some prices are not observed in the data. Numerically, however, DV measures obtained from a "typical" specification can be quite unstable even when the number of missing prices is small. To the extent that collinearity is an important source of the problem, functional forms that use (orthogonal) fixed effects to control for quality differences across goods should yield more stable estimates. Data for Intel's microprocessors are used to illustrate these points.

Suggested Citation

  • 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.).
  • Handle: RePEc:fip:fedgfe:2003-05
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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.
    2. Ariel Pakes, 2003. "A Reconsideration of Hedonic Price Indexes with an Application to PC's," American Economic Review, American Economic Association, vol. 93(5), pages 1578-1596, December.
    3. Triplett, Jack E & McDonald, Richard J, 1977. "Assessing the Quality Error in Output Measures: The Case of Refrigerators," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 23(2), pages 137-156, June.
    4. Silver, Mick, 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.
    5. 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.
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    Cited by:

    1. Alan G. White & Jaison R. Abel & Ernst R. Berndt & Cory W. Monroe, 2010. "Hedonic Price Indexes for Personal Computer Operating Systems and Produtivity Suites," NBER Chapters,in: Contributions in Memory of Zvi Griliches, pages 787-807 National Bureau of Economic Research, Inc.
    2. Silver, Mick & Heravi, Saeed, 2007. "The Difference Between Hedonic Imputation Indexes and Time Dummy Hedonic Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 239-246, April.
    3. Mark Doms & Ana M. Aizcorbe & Carol Corrado, 2003. "When do matched-model and hedonic techniques yield similar measures?," Working Paper Series 2003-14, Federal Reserve Bank of San Francisco.

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    Keywords

    Price indexes;

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