Disease-Related Loss to Government Funding: Longitudinal Analysis of Individual-Level Health and Tax Data for an Entire Country

Jennifer A. Summers* (Corresponding Author), Nick Wilson, Tony Blakely, Finn Sigglekow

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Objectives: The objective of this longitudinal analysis was to estimate funding loss in terms of tax revenue to the New Zealand (NZ) government from disease and injury among working age adults.

Methods: Linked national health and tax data sets of the usually resident population between 2006 and 2016 were used to model 40 disease states simultaneously in a fixed-effects regression analysis to estimate population-level tax loss from disease and injury. To estimate tax revenue loss to the NZ government, we modeled a counterfactual scenario where all disease/injury was cause deleted.

Results: The estimated tax paid by all 25- to 64-year-olds in the eligible NZ population was $15 773 million (m) per annum (US dollar 2021), or $16 446 m for a counterfactual as though no one had any disease disease-related income loss (a 4.3% or $672.9 m increase in tax revenue per annum). The disease that-if it had no impact on income-generated the greatest impact was mental illness, contributing 34.7% ($233.3 m) of all disease-related tax loss, followed by cardiovascular (14.7%, $99.0 m) and endocrine (10.2%, $68.8 m). Tax revenue gains after deleting all disease/injury increased up to 65 years of age, with the largest contributor occurring among 60- to 64-year-olds ($131.7 m). Varied results were also observed among different ethnicities and differing levels of deprivation.

Conclusions: This study finds considerable variation by disease on worker productivity and therefore tax revenue in this high-income country. These findings strengthen the economic and government case for prevention, particularly the prevention of mental health conditions and cardiovascular disease.
Original languageEnglish
Pages (from-to)170-175
Number of pages6
JournalValue in Health
Volume26
Issue number2
Early online date17 Sept 2022
DOIs
Publication statusPublished - Feb 2023
Externally publishedYes

Data Availability Statement

The data used in this study are available in the Statistics New Zealand Integrated Data Laboratory. Details on how to access these data can be found at
https://www.stats.govt.nz/integrated-data/apply-to-use-microdata-for-research/
or contact Statistics New Zealand at [email protected]

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