Disease-related income and economic productivity loss in New Zealand: A longitudinal analysis of linked individual-level data

Tony Blakely, Finn Sigglekow, Muhammad Irfan, Anja Mizdrak, Joseph Dieleman, Laxman Bablani, Philip Clarke and Nick Wilson

PLOS Medicine, 2021, vol. 18, issue 11, 1-19

Abstract: Background: Reducing disease can maintain personal individual income and improve societal economic productivity. However, estimates of income loss for multiple diseases simultaneously with thorough adjustment for confounding are lacking, to our knowledge. We estimate individual-level income loss for 40 conditions simultaneously by phase of diagnosis, and the total income loss at the population level (a function of how common the disease is and the individual-level income loss if one has the disease). Methods and findings: We used linked health tax data for New Zealand as a high-income country case study, from 2006 to 2007 to 2015 to 2016 for 25- to 64-year-olds (22.5 million person-years). Fixed effects regression was used to estimate within-individual income loss by disease, and cause-deletion methods to estimate economic productivity loss at the population level. Conclusions: In this longitudinal study, we found that income loss varies considerably by disease. Nevertheless, mental illness, cardiovascular, and musculoskeletal diseases stand out as likely major causes of economic productivity loss, suggesting that they should be prioritised in prevention programmes. Tony Blakely and co-workers estimate the economic impacts of specific diseases on individuals in New Zealand.Why was this study done?: What did the researchers do and find?: What do these findings mean?:

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pmed00:1003848

DOI: 10.1371/journal.pmed.1003848

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