IDEAS home Printed from https://ideas.repec.org/p/eti/dpaper/10015.html
   My bibliography  Save this paper

Working Hours of Part-timers and the Measurement of Firm-level Productivity

Author

Listed:
  • MORIKAWA Masayuki

Abstract

This paper empirically quantifies what effect the data availability on part-timers' firm-level working hours may have on the accuracy of productivity measurement by using a data set on a large number of Japanese firms. Despite the practical importance of part-time workers in productivity measurement, this issue has not been considered seriously in past empirical studies. According to the analysis of this paper: (1) firm-level working hours of part-timers are quite heterogeneous even within the same industry; (2) when using industry average working hours, the bias of measured productivity is around 4% at the sample mean and from 1% to 2% at the sample median. The biases are especially large for service industries such as restaurant, hotel, and retail trade, where the part-time ratio is high; (3) however, the correlation between measured productivities using industry average working hours and those using firm-level hours is very high. This suggests there is only a small mismeasurement when using industry aggregate data in analyzing effects of firm characteristics or policy measures on productivity; (4) it is desirable to calculate full-time and part-time hours separately in productivity analyses covering service industries. In considering the importance of planning a valid economic growth strategy, enriching firm-level statistics is a cost-effective investment.

Suggested Citation

  • MORIKAWA Masayuki, 2010. "Working Hours of Part-timers and the Measurement of Firm-level Productivity," Discussion papers 10015, Research Institute of Economy, Trade and Industry (RIETI).
  • Handle: RePEc:eti:dpaper:10015
    as

    Download full text from publisher

    File URL: https://www.rieti.go.jp/jp/publications/dp/10e015.pdf
    Download Restriction: no
    ---><---

    More about this item

    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:eti:dpaper:10015. 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: TANIMOTO, Toko (email available below). General contact details of provider: https://edirc.repec.org/data/rietijp.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.