IDEAS home Printed from https://ideas.repec.org/p/fip/fedgfe/2003-05.html
   My bibliography  Save this paper

The stability of dummy variable price measures obtained from hedonic regressions

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.federalreserve.gov/pubs/feds/2003/200305/200305abs.html
    Download Restriction: no
    File URL: http://www.federalreserve.gov/pubs/feds/2003/200305/200305pap.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Feenstra, Robert C, 1995. "Exact Hedonic Price Indexes," The Review of Economics and Statistics, MIT Press, vol. 77(4), pages 634-653, November.
    3. 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.
    4. 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.
    5. 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.
    6. Jack E. Triplett & Richard J. McDonald, 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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 Productivity 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. Ana M. Aizcorbe & Carol Corrado & Mark Doms, 2003. "When do matched-model and hedonic techniques yield similar measures?," Working Paper Series 2003-14, Federal Reserve Bank of San Francisco.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mick Silver, 2016. "How to Better Measure Hedonic Residential Property Price Indexes," IMF Working Papers 2016/213, International Monetary Fund.
    2. David Prentice & Xiangkang Yin, 2004. "Constructing a Quality‐Adjusted Price Index for a Heterogeneous Oligopoly," Manchester School, University of Manchester, vol. 72(4), pages 423-442, July.
    3. Ana M. Aizcorbe & Carol Corrado & Mark Doms, 2003. "When do matched-model and hedonic techniques yield similar measures?," Working Paper Series 2003-14, Federal Reserve Bank of San Francisco.
    4. Robert C. Feenstra & Christopher R. Knittel, 2009. "Reassessing the US Quality Adjustment to Computer Prices: The Role of Durability and Changing Software," NBER Chapters, in: Price Index Concepts and Measurement, pages 129-160, National Bureau of Economic Research, Inc.
    5. W. Diewert, 2011. "Measuring productivity in the public sector: some conceptual problems," Journal of Productivity Analysis, Springer, vol. 36(2), pages 177-191, October.
    6. 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.
    7. Hoffmann, Johannes, 1998. "Problems of inflation measurement in Germany," Discussion Paper Series 1: Economic Studies 1998,01e, Deutsche Bundesbank.
    8. W. Erwin Diewert & Saeed Heravi & Mick Silver, 2009. "Hedonic Imputation versus Time Dummy Hedonic Indexes," NBER Chapters, in: Price Index Concepts and Measurement, pages 161-196, National Bureau of Economic Research, Inc.
    9. Mick Silver, 2009. "The Hedonic Country Product Dummy Method and Quality Adjustments for Purchasing Power Parity Calculations," IMF Working Papers 2009/271, International Monetary Fund.
    10. David Wasshausen & Brent R. Moulton, 2006. "The Role of Hedonic Methods in Measuring Real GDP in the United States," BEA Papers 0067, Bureau of Economic Analysis.
    11. Wong, Maisy, 2010. "The Relationship between Marginal Willingness-to-Pay in the Hedonic and Discrete Choice Models," MPRA Paper 51218, University Library of Munich, Germany.
    12. Christopher R. Knittel & Victor Stango, 2003. "Compatibility and pricing with indirect network effects: evidence from ATMs," Working Paper Series WP-03-33, Federal Reserve Bank of Chicago.
    13. Belma Öztürkkal & Aslı Togan-Eğrican, 2020. "Art investment: hedging or safe haven through financial crises," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 44(3), pages 481-529, September.
    14. Jan van Dalen & Ben Bode, 2004. "Quality-corrected price indices: the case of the Dutch new passenger car market, 1990-1999," Applied Economics, Taylor & Francis Journals, vol. 36(11), pages 1169-1197.
    15. Christopher R. Knittel & Victor Stango, 2003. "Compatibility and pricing with indirect network effects: evidence from ATMs," Working Paper Series WP-03-33, Federal Reserve Bank of Chicago.
    16. Victor Ginsburgh & Jianping Mei & Michael Moses, 2006. "On the computation of art indices in art," ULB Institutional Repository 2013/7290, ULB -- Universite Libre de Bruxelles.
    17. Doms, Mark & Forman, Chris, 2005. "Prices for local area network equipment," Information Economics and Policy, Elsevier, vol. 17(3), pages 365-388, July.
    18. 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.
    19. Xosé-Luís Varela-Irimia, 2014. "Age effects, unobserved characteristics and hedonic price indexes: The Spanish car market in the 1990s," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 5(4), pages 419-455, November.
    20. Naoki Watanabe & Ryo Nakajima & Takanori Ida, 2010. "Quality-Adjusted Prices of Japanese Mobile Phone Handsets and Carriers’ Strategies," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 36(4), pages 391-412, June.

    More about this item

    Keywords

    Price indexes;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fip:fedgfe:2003-05. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ryan Wolfslayer ; Keisha Fournillier (email available below). General contact details of provider: https://edirc.repec.org/data/frbgvus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.