Health Impacts on Labor Market Outcomes

The interplay between health status and labour market outcomes is now a central concern for economists and policymakers seeking to foster inclusive growth. Empirical studies demonstrate that both chronic diseases and acute health shocks lead to statistically significant declines in labour force participation, earnings and working hours. Older workers experiencing multiple chronic conditions are more likely to reduce hours or retire early, exacerbating demographic pressures in ageing societies. Mental health disorders impose further constraints, with severe depression linked to reductions in employment of up to 18% and earnings losses exceeding 40% under certain assumptions. Beyond the individual, health events can trigger added-worker effects within households, as spouses increase their labour supply to offset income losses. Conversely, strategic health investments—ranging from expanded preventive care to targeted rehabilitation—have been shown to mitigate productivity losses by maintaining effective working time and facilitating return to work. The cumulative evidence underscores the dual role of health as both a determinant of individual economic well-being and a driver of aggregate labour market performance globally.

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Health Impacts on Labor Market Outcomes publication trend

The graph below shows the total number of articles in health impacts on labor market outcomes across all publications each year (not limited to Nature Index journals).

Technical terms

Health shock: A sudden deterioration in health status, such as an acute illness or injury, that can disrupt work capacity and labour market participation.

Labour supply: The amount of labour—typically measured by participation rates or hours worked—that individuals offer to the labour market.

Meta-analysis: A statistical technique that aggregates results from independent studies to estimate overall effect sizes and assess variation across studies.

Partial identification approach: A methodological framework that uses minimal assumptions to bound causal effects when full identification is not achievable.

References

1. A systematic review and meta-analysis on the effects of ill health and health shocks on labour supply. Systematic Reviews (2024).
2. What can we learn about the effect of mental health on labor market outcomes under weak assumptions? Evidence from the NLSY79. Labour Economics (2022).
3. The Effect of Health on the Elderly's Labor Supply in Rural China: Simultaneous Equation Models With Binary, Ordered, and Censored Variables. Frontiers in Public Health (2022).
4. Health shocks and the added worker effect: a life cycle approach. Journal of Applied Economics (2019).