IDEAS home Printed from https://ideas.repec.org/a/nos/vgmu00/2018i2p7-29.html
   My bibliography  Save this article

Using Administrative Data for Labor Market Statistics: The Case of Moscow

Author

Listed:

Abstract

The purpose of the article is to demonstrate how the use of administrative data can promptly and with low costs improve the accuracy and informativeness of official statistical indicators of the labor market. The Russian offi cial labor statistics currently use the only two sources of statistical information: statistical reporting of enterprises and population surveys. The authors show that the available indicators are inconsistent with each other and do not meet the needs of users. The example of Moscow shows that the available administrative data (data from the Pension Fund of the Russian Federation) allow both to increase the accuracy of the already calculated indicators of employment and wages through the full coverage of respondents, and to introduce new indicators that are currently not calculated by official statistics (wages of Russian citizens and foreigners, salaries of people working for several employers, etc.). The limitations of the Pension Funds data, as well as recommendations for the incorporating administrative data into the system of official statistics at the regional and national levels, are discussed.

Suggested Citation

  • Polina Kryuchkova & Konstantin Provkov & Maksim Reshetnikov, 2018. "Using Administrative Data for Labor Market Statistics: The Case of Moscow," Public administration issues, Higher School of Economics, issue 2, pages 7-29.
  • Handle: RePEc:nos:vgmu00:2018:i:2:p:7-29
    as

    Download full text from publisher

    File URL: http://vgmu.hse.ru/data/2018/07/04/1152920388/%D0%9A%D1%80%D1%8E%D1%87%D0%BA%D0%BE%D0%B2%D0%B0,%20%D0%9F%D1%80%D0%BE%D0%B2%D0%BA%D0%BE%D0%B2,%20%D0%A0%D0%B5%D1%88%D0%B5%D1%82%D0%BD%D0%B8%D0%BA%D0%BE%D0%B2%202-2018.pdf
    Download Restriction: no
    ---><---

    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:nos:vgmu00:2018:i:2:p:7-29. 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: Irina A. Zvereva (email available below). General contact details of provider: http://vgmu.hse.ru/ .

    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.