IDEAS home Printed from https://ideas.repec.org/p/imf/imfscr/2022-303.html
   My bibliography  Save this paper

United Arab Emirates: Technical Assistance Report-Hedonic Methods for Price Indices Mission

Author

Listed:
  • International Monetary Fund

Abstract

A technical assistance (TA) mission was conducted remotely during January 16-20, 2022 to assist the Dubai Statistics Center (DSC) in introducing hedonic methods for quality adjustments in the consumer price index (CPI) and the real estate price index (REPI). Currently the REPI is compiled by DSC using stratification with simple averages. Moving from simple averages to hedonic regressions will improve the accuracy of the indicator since it will take into account the quality mix of properties within each stratum. The mission recommended the hedonics time dummy method with a rolling window of 12 months for compiling the REPI. This method provides more stable results, i.e., less volatile indices, since it pools one year of data instead of one quarter, and it is particularly recommended when few observations are available. It is widely used for Residential Property Price Index compilation and for CPI compilation with web scraped data. The TA mission provided extensive training on using this method accompanied by R codes adapted to the Dubai sample data.

Suggested Citation

  • International Monetary Fund, 2022. "United Arab Emirates: Technical Assistance Report-Hedonic Methods for Price Indices Mission," IMF Staff Country Reports 2022/303, International Monetary Fund.
  • Handle: RePEc:imf:imfscr:2022/303
    as

    Download full text from publisher

    File URL: http://www.imf.org/external/pubs/cat/longres.aspx?sk=523553
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Ta recipient; REPI CPI; DSC Management evaluation; transaction data; real estate price index; Dubai land department; Consumer price indexes; Price indexes; Data collection;
    All these keywords.

    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:imf:imfscr:2022/303. 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.

    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: Akshay Modi (email available below). General contact details of provider: https://edirc.repec.org/data/imfffus.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.