IDEAS home Printed from https://ideas.repec.org/p/lpe/wpaper/202269.html
   My bibliography  Save this paper

Who works from home during the COVID-19 pandemic? Case of Indonesia

Author

Listed:
  • Riatu Mariatul Qibthiyyah

    (Institute for Economic and Social Research, Faculty of Economics and Business, Universitas Indonesia (LPEM FEB UI))

  • Fauziah Zen

    (Department of Economics, Faculty of Economics and Business, Universitas Indonesia; Economics Research Institute for ASEAN and East Asia (ERIA))

Abstract

During the COVID period, a form of remote working, work from home, is adopted in the workplace and/or is opted by the workers. Based on SAKERNAS August 2020 survey, 10.39% of salaried workers worked from home during this early period of the COVID-19 pandemic. Exploring on factors affecting the choice of remote working, we find vulnerable populations, as in the case of women and disabled workers, have a higher probability of working remotely from home. However, married workers correlated with a lower probability of working from home. Across sectors, manufacturing, transport, hotel and restaurant sectors are positively correlated with a higher probability of working remotely, and the reverse for the case of health and social and the government sector in general. In this early pandemic period, salaried workers who work from home mostly experienced a lower or the same level of hours work compared to the period before the COVID-19 pandemic. There seems to be divergence on the benefits of working from home, as from descriptive, an increase in earnings is dominated by workers with a relatively high wage rate.

Suggested Citation

  • Riatu Mariatul Qibthiyyah & Fauziah Zen, 2022. "Who works from home during the COVID-19 pandemic? Case of Indonesia," LPEM FEBUI Working Papers 202269, LPEM, Faculty of Economics and Business, University of Indonesia, revised 2022.
  • Handle: RePEc:lpe:wpaper:202269
    as

    Download full text from publisher

    File URL: https://www.lpem.org/repec/lpe/papers/WP202269.pdf
    File Function: First version, 2022
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    COVID-19 impact on jobs — work from home — remote work — internet usage — vulnerable workers;

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • O21 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Planning Models; Planning Policy

    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:lpe:wpaper:202269. 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: Arianto Patunru (email available below). General contact details of provider: https://edirc.repec.org/data/feuinid.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.