EconPapers    
Economics at your fingertips  
 

How long do Canadians with and without disabilities stay with their employer? A novel analysis by disability type

Jenny Watt

Economic and Social Reports from Statistics Canada, Analytical Studies and Modelling Branch

Abstract: This study uses a novel data linkage to provide nationally representative statistics on job tenure—the amount of time with the same employer—for employees with and without disabilities. The primary empirical challenge is that employees with disabilities differ from employees without disabilities in characteristics that predict job tenure, such as age. To overcome this challenge, the study uses a decomposition method that involves estimating expected job tenure given the observable characteristics of the study population. By doing so, the study finds that, overall, employees with disabilities have a median job tenure that is in line with what is expected given their age, gender and sector of employment. However, median job tenure is lower than expected for employees with certain disability types, for employees with non-episodic disabilities and for employees with more severe disabilities.

Keywords: Adults with disabilities; data integration; employees; employment tenure (search for similar items in EconPapers)
JEL-codes: J23 M21 (search for similar items in EconPapers)
Date: 2025-09-24
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www150.statcan.gc.ca/n1/pub/36-28-0001/2025009/article/00002-eng.htm (text/html)
https://www150.statcan.gc.ca/n1/pub/36-28-0001/2025009/article/00002-eng.pdf (application/pdf)

Related works:
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:stc:stcp8e:202500900002e

DOI: 10.25318/36280001202500900002-eng

Access Statistics for this paper

More papers in Economic and Social Reports from Statistics Canada, Analytical Studies and Modelling Branch Contact information at EDIRC.
Bibliographic data for series maintained by Mark Brown ().

 
Page updated 2026-05-22
Handle: RePEc:stc:stcp8e:202500900002e