IDEAS home Printed from https://ideas.repec.org/p/nsr/escoet/escoe-tr-07.html
   My bibliography  Save this paper

Outlier detection methodologies for alternative data sources: International review of current practices

Author

Listed:
  • Janine Boshoff
  • Xuxin Mao
  • Garry Young

Abstract

The construction of consumer price indexes (CPI) has historically relied on manually and centrally collected price data. As point of sale (POS) scanner data and web-scraped data become more accessible, these alternative data represent a rich new source of information to produce consumer price information. While outlier detection methodologies are well established for traditional data sources, more research is required to better understand the unique quality and format of the alternative data. Several national statistical institutions (NSIs) have already started to conduct research into alternative data source and the outlier detection methodologies that are necessary before these data can be incorporated into CPI calculations. This report reviews the outlier detection methodologies adopted by NSIs that have started to incorporate alternative data sources in their calculation of CPI.

Suggested Citation

  • Janine Boshoff & Xuxin Mao & Garry Young, 2020. "Outlier detection methodologies for alternative data sources: International review of current practices," Economic Statistics Centre of Excellence (ESCoE) Technical Reports ESCOE-TR-07, Economic Statistics Centre of Excellence (ESCoE).
  • Handle: RePEc:nsr:escoet:escoe-tr-07
    as

    Download full text from publisher

    File URL: https://escoe-website.s3.amazonaws.com/wp-content/uploads/2020/08/04130542/ESCoE-TR-07.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Diewert, W. Erwin & Fox, Kevin J. & de Haan, Jan, 2016. "A newly identified source of potential CPI bias: Weekly versus monthly unit value price indexes," Economics Letters, Elsevier, vol. 141(C), pages 169-172.
    2. repec:grz:wpaper:2016-13 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    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. Fox, Kevin J. & Levell, Peter & O'Connell, Martin, 2023. "Inflation measurement with high frequency data," CEPR Discussion Papers 18539, C.E.P.R. Discussion Papers.
    2. Enzo D’Innocenzo & Alessandra Luati & Mario Mazzocchi, 2023. "A robust score-driven filter for multivariate time series," Econometric Reviews, Taylor & Francis Journals, vol. 42(5), pages 441-470, May.

    More about this item

    Keywords

    consumer price index; multilateral indices; outlier detection; scanner data; web-scraped data;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

    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:nsr:escoet:escoe-tr-07. 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: ESCoE Centre Manager (email available below). General contact details of provider: https://edirc.repec.org/data/escoeuk.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.