EconPapers    
Economics at your fingertips  
 

Robots and labor in nursing homes

Yong Suk Lee, Toshiaki Iizuka and Karen Eggleston

Labour Economics, 2025, vol. 92, issue C

Abstract: How do employment, tasks, and productivity change with robot adoption? Unlike manufacturing, little is known about these issues in the service sector, where robot adoption is expanding. As a first step towards filling this gap, we study Japanese nursing homes using original facility-level panel data that includes the different robots used and the tasks performed. We find that robot adoption is accompanied by an increase in employment and retention and the relationship is strongest for non-regular care workers and monitoring robots. The share of specific tasks performed by robots increases with the adoption of the respective type of robot, leading to reallocation of care worker effort to “human touch” tasks that support quality care. Robots are associated with improved quality (reduction in restraint use and pressure ulcers) and productivity.

Keywords: Robots; Jobs; Nursing homes; Automation; Staffing; Employment; Quality of care; Aging; Healthcare; Long-term care (search for similar items in EconPapers)
JEL-codes: I11 J14 J23 O30 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0927537124001623
Full text for ScienceDirect subscribers only

Related works:
Working Paper: Robots and Labor in Nursing Homes (2024) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:labeco:v:92:y:2025:i:c:s0927537124001623

DOI: 10.1016/j.labeco.2024.102666

Access Statistics for this article

Labour Economics is currently edited by A. Ichino

More articles in Labour Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-23
Handle: RePEc:eee:labeco:v:92:y:2025:i:c:s0927537124001623