IDEAS home Printed from https://ideas.repec.org/p/wap/wpaper/2125.html

Nightless City: Impacts of Policymakers’ Questions on Overtime Work of Government Officials

Author

Listed:
  • Natsuki Arai

    (National Chengchi University)

  • Masashige Hamano

    (Waseda University)

  • Munechika Katayama

    (Waseda University)

  • Yuki Murakami

    (Waseda University)

  • Katsunori Yamada

    (Kindai University)

Abstract

We quantify the impact of unexpectedly assigned tasks on overtime work in the context of Japanese government officials. Data on overtime work are typically less reliable. We overcome this problem by using mobile phone location data, which enables us to precisely measure the nighttime population in the government-office district in Tokyo at an hourly frequency. Exploiting the exogenous nature of task arrivals, we estimate impacts on overtime work. We find that, in response to a newly assigned task, overtime work initially decreases and then increases persistently. Institutional changes to relax the time constraint and improve the working environment of government officials play a part in mitigating overtime work, but persistent increases in overtime work remain. We provide a simple model of optimal work allocation and show that distortion in intertemporal task allocation can account for the observed responses.

Suggested Citation

  • Natsuki Arai & Masashige Hamano & Munechika Katayama & Yuki Murakami & Katsunori Yamada, 2022. "Nightless City: Impacts of Policymakers’ Questions on Overtime Work of Government Officials," Working Papers 2125, Waseda University, Faculty of Political Science and Economics, revised Oct 2023.
    • Handle: RePEc:wap:wpaper:2125
    as

    Download full text from publisher

    File URL: https://www.waseda.jp/fpse/winpec/assets/uploads/2022/03/E2125_version.pdf
    File Function: First version,
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • H11 - Public Economics - - Structure and Scope of Government - - - Structure and Scope of Government
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

    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:wap:wpaper:2125. 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: Haruko Noguchi (email available below). General contact details of provider: https://edirc.repec.org/data/spwasjp.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.