Cited by 88Gender, Labor, and Family DynamicsLabor market dynamics and wage inequalityEconomic and Financial Impacts of Cancer

Health and work in the family: Evidence from spouses’ cancer diagnoses

Jeon, Sung-Hee, Pohl, R. Vincent·2017·Journal of Health Economics

Abstract

Using Canadian administrative data from multiple sources, we provide the first nationally representative estimates for the effect of spouses' cancer diagnoses on individuals' employment and earnings and on family income. Our identification strategy exploits unexpected health shocks and combines matching with individual fixed effects in a generalized difference-in-differences framework to control for observable and unobservable heterogeneity. While the effect of spousal health shocks on labor supply is theoretically ambiguous, we find strong evidence for a decline in employment and earnings of individuals whose spouses are diagnosed with cancer. We interpret this result as individuals reducing their labor supply to provide care to their sick spouses and to enjoy joint leisure. Family income substantially declines after spouses' cancer diagnoses, suggesting that the financial consequences of such health shocks are considerable.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.jhealeco.2016.12.008

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Female caregivers consistently reported higher caregiving time and greater adverse labor and productivity outcomes, including absenteeism, presenteeism, reduced working hours, job loss, and weekly hours of unpaid care, than male caregivers.

    “Women consistently reported greater labor and productivity impacts than men.”

    From Systematic Review and Meta-Analyses of Time-Use, Productivity, and Labor Outcomes Among Unpaid Cancer Caregivers (2026) · cites this paper as [20]

    The regression results report larger relative earnings losses for women (5.9%) than men (3.4%), but similar employment reductions of about 2.4 percentage points. The Discussion also describes the gender difference as only slight. Our copy does not establish the claimed differences in caregiving time, absenteeism, presenteeism, job loss, or unpaid-care hours. (LLM, conf=0.88)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 22

  1. Boden, L.I., and M. Galizzi. 2003. 'Income losses of women and men injured at work.' Journal of Human Resources 38 (3): 722-757.
  2. Bradley, C.J., D. Neumark, H.L. Bednarek, and M. Schenk. 2005. 'Short-term effects of breast cancer on labor market attachment: Results from a longitudinal study.' Journal of Health Economics 24 (1): 137-160.
  3. Bradley, C.J., D. Neumark, Z. Luo, and H.L. Bednarek. H.L. 2007a. 'Employment-contingent health insurance, illness, and labor supply of women: Evidence from married women with breast cancer.' Health Economics 16 (7): 719-737.
  4. Bradley, C.J., D. Neumark, Z. Luo, and M. Schenk. 2007b. 'Employment and cancer: Findings from a longitudinal study of breast and prostate cancer survivors.' Cancer Investigation 25 (1): 47-54.
  5. Bradley, C.J., H.L. Bednarek, and D. Neumark. 2002a. 'Breast cancer survival, work, and earnings.' Journal of Health Economics 21: 757-779.
  6. Bradley, C.J., H.L. Bednarek, and D. Neumark. 2002b. 'Breast cancer and women's labor supply.' Health Services Research 37 (5): 1309-1328.
  7. Bradley, C.J., K. Oberst, and M. Schenk. 2006. 'Absenteeism from work: The experience of employed breast and prostate cancer patients in the months following diagnosis.' Psycho-Oncology 15 (8): 739-747.
  8. de Oliveira, C., K.E. Bremner, R. Pataky, N. Gunraj, K. Chan, S. Peacock, and M.D. Krahn. 2013. 'Understanding the costs of cancer care before and after diagnosis for the 21 most common cancers in Ontario: A population-based descriptive study.' CMAJ Open 1 (1): E1-E8.
  9. García-Gómez, P., H. van Kippersluis, O. O'Donnell, and E. van Doorslaer. 2013. 'Long term and spillover effects of health shocks on employment and income.' Journal of Human Resources 48 (4): 873-909.
  10. Hijzen, A., R. Upward, and P.W. Wright. 2010. 'The income losses of displaced workers.' Journal of Human Resources 45 (1): 243-269.
  11. Ho, D., K. Imai, G. King, and E. Stuart. 2007. 'Matching as nonparametric preprocessing for reducing model dependence in parametric causal inference.' Political Analysis 15 (3): 199-236.
  12. Hollenbeak, C.S., P.F. Short, and J. Moran. 2011. 'The implications of cancer survivorship for spousal employment.' Journal of Cancer Survivorship 5 (3): 226-234.
  13. Iacus, S.M., G. King, and G. Porro. 2011. 'Multivariate matching methods that are monotonic imbalance bounding.' Journal of the American Statistical Association 106 (493): 345-361.
  14. Iacus, S.M., G. King, and G. Porro. 2012. 'Causal inference without balance checking: Coarsened Exact Matching.' Political Analysis 20 (1): 1-24.
  15. Imbens, G.W., and J.M. Wooldridge. 2009. 'Recent developments in the Econometrics of Program Evaluation.' Journal of Economic Literature 47 (1): 5-86.
  16. Jacobson, L.S., R.J. LaLonde, and D.G. Sullivan. 1993. 'Earnings losses of displaced workers.' American Economic Review 83 (4): 685-709.
  17. Longo, C.J., M. Fitch, R.B. Deber, and A.P. Williams. 2006. 'Financial and family burden associated with cancer treatment in Ontario, Canada.' Supportive Care in Cancer 14 (11): 10771085.
  18. Michaud, P.-C., and F. Vermeulen. 2011. 'A collective labor supply model with complementarities in leisure: Identification and estimation by means of panel data.' Labour Economics 18 (2): 159167.
  19. Skira, M.M. 2015. 'Dynamic wage and employment effects of elder parent care.' International Economic Review 56 (1): 63-93.
  20. Statistics Canada. 2008. Canadian Cancer Registry System Guide, 2007 Edition. Canadian Cancer Registry Redesign Team. Statistics Canada Catalogue no. 82-225-X. Ottawa: Statistics Canada.
  21. Stephens, M. 2002. 'Worker displacement and the added worker effect.' Journal of Labor Economics 20 (3): 504-537.
  22. Wilkins, R., M. Tjepkema, C. Mustard, R. Choinière. 2008. 'The Canadian census mortality follow-up study, 1991 through 2001.' Health Reports 19 (3): 25-43.

Cited by

Sorted by citations

Authors
Jeon, S.-H., & Pohl, R. V.
Affiliations
  • Statistics Canada (CA)
  • University of Georgia (US)
Corresponding author
Pohl, R. Vincent
Venue
Journal of Health Economics
Publisher
Elsevier BV
Published
2017-03
Volume
52
Pages
1-18
ISSN
0167-6296 (ISSN-L)
OpenAlex
W2275493837
Cited by
88
References
1
Citations by year
2026: 9 · 2025: 17 · 2024: 12 · 2023: 11 · 2022: 11 · 2021: 8 · 2020: 4 · 2019: 12 · 2018: 2 · 2017: 1 · 2015: 1
FWCI
10.83
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Health Economics (publishedVersion)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Gender Studies › Gender, Labor, and Family Dynamics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Labor market dynamics and wage inequality
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic and Financial Impacts of Cancer
Keywords
labor supply, employment, earnings, household income, caregiving, household finance, health shocks
MeSH terms
Adult, Age Factors, Canada, Employment, Family, Female, Humans, Income, Male, Middle Aged, Neoplasms, Sex Factors, Spouses

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review