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The stability of dummy variable price measures obtained from hedonic regressions

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  • Ana 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.

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Bibliographic Info

Paper provided by Board of Governors of the Federal Reserve System (U.S.) in its series Finance and Economics Discussion Series with number 2003-05.

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Date of creation: 2003
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Handle: RePEc:fip:fedgfe:2003-05

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Keywords: Price indexes;

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  1. 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.
  2. Ariel Pakes, 2002. "A Reconsideration of Hedonic Price Indices with an Application to PC's," NBER Working Papers 8715, National Bureau of Economic Research, Inc.
  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 137-56, June.
  4. Feenstra, Robert C, 1995. "Exact Hedonic Price Indexes," The Review of Economics and Statistics, MIT Press, vol. 77(4), pages 634-53, November.
  5. 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.
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Cited by:
  1. Mark Doms & Ana 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.
  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. Alan G. WHITE & Jaison R. ABEL & Ernst R. BERNDT & Cory W. MONROE, 2005. "Hedonic Price Indexes for Personal Computer Operating Systems and Productivity Suites," Annales d'Economie et de Statistique, ENSAE, issue 79-80, pages 787-807.

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