IDEAS home Printed from
   My bibliography  Save this book chapter

Theoretical Background of Hedonic Measure and Repeat Sales Measure-Survey-

In: Property Price Index


  • W. Erwin Diewert

    (University of British Columbia)

  • Kiyohiko G. Nishimura

    (National Graduate Institute for Policy Studies (GRIPS))

  • Chihiro Shimizu

    (Nihon University & The University of Tokyo)

  • Tsutomu Watanabe

    (The University of Tokyo)


When it comes to methods of quality adjustment for property price indexes, if one looks at the Residential Property Price Indices HandbookResidential Property Price Indices Handbook published by EuroStat in 2013, it present a variety of methods along with their advantages and disadvantages: (a) Stratification or Mix Adjustment MethodsMix adjustment methods, (b) Hedonic Regression Methods, (c) Repeat Sales Methods, and (d) Appraisal-Based MethodsAppraisal-based methods. This is because, in reality, multiple methods have been applied in the estimation of property price indexes.

Suggested Citation

  • W. Erwin Diewert & Kiyohiko G. Nishimura & Chihiro Shimizu & Tsutomu Watanabe, 2020. "Theoretical Background of Hedonic Measure and Repeat Sales Measure-Survey-," Advances in Japanese Business and Economics, in: Property Price Index, chapter 0, pages 35-78, Springer.
  • Handle: RePEc:spr:advchp:978-4-431-55942-9_2
    DOI: 10.1007/978-4-431-55942-9_2

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item


    Access and download statistics


    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:spr:advchp:978-4-431-55942-9_2. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: .

    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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.