[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/28322.html
   My bibliography  Save this paper

Robots and Labor in the Service Sector: Evidence from Nursing Homes

Author

Listed:
  • Karen Eggleston
  • Yong Suk Lee
  • Toshiaki Iizuka
Abstract
In one of the first studies of service sector robotics using establishment-level data, we study the impact of robots on staffing in Japanese nursing homes, using geographic variation in robot subsidies as an instrumental variable. We find that robot adoption increases employment by augmenting the number of care workers and nurses on flexible employment contracts, and decreases difficulty in staff retention. Robot adoption also reduces the monthly wages of regular nurses, consistent with reduced burden of care. Our findings suggest that the impact of robots may not be detrimental to labor and may remedy challenges posed by rapidly aging populations.

Suggested Citation

  • Karen Eggleston & Yong Suk Lee & Toshiaki Iizuka, 2021. "Robots and Labor in the Service Sector: Evidence from Nursing Homes," NBER Working Papers 28322, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:28322
    Note: AG EH LS
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w28322.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Almuhaisen, Abdulmohsen & Amuedo-Dorantes, Catalina & Furtado, Delia, 2024. "Immigration enforcement and the institutionalization of elderly Americans," Journal of Health Economics, Elsevier, vol. 94(C).
    2. Qiren Liu & Sen Luo & Robert Seamans, 2023. "Pain or Anxiety? The Health Consequences of Rising Robot Adoption in China," Papers 2301.10675, arXiv.org.
    3. Sun, Wenyuan & Zhang, Zhonghui & Chen, Yang & Luan, Fushu, 2023. "Heterogeneous effects of robots on employment in agriculture, industry, and services sectors," Technology in Society, Elsevier, vol. 75(C).
    4. Lee, Yong Suk & Kim, Taekyun & Choi, Sukwoong & Kim, Wonjoon, 2022. "When does AI pay off? AI-adoption intensity, complementary investments, and R&D strategy," Technovation, Elsevier, vol. 118(C).
    5. Michele Fornino & Andrea Manera, 2022. "Automation and the Future of Work: Assessing the Role of Labor Flexibility," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 45, pages 282-321, July.

    More about this item

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

    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:nbr:nberwo:28322. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.