Business cycles and mortality in Italy

Our study examines the relationship between business cycles and mortality rates in Italy over the period 2004-2019. Using the unemployment rate as a proxy for macroeconomic conditions, we investigate how economic fluctuations affect mortality rates across causes of death, age groups, genders, and educational levels. The analysis relies on data from the National Institute of Statistics (ISTAT) and applies panel data methods to control for province-specific heterogeneity and time effects. The findings reveal a procyclical pattern, with higher unemployment rates associated with lower mortality. Substantial heterogeneity emerges across demographic groups and causes of death. To test robustness, the analysis is extended to include the COVID-19 pandemic years (2020-2021), thereby assessing its impact on the previously identified relationships. Results suggest that the pandemic disrupted established unemployment-mortality dynamics, particularly for transport accidents and respiratory diseases. Overall, the findings highlight the importance of targeted public policies to mitigate health risks during economic expansions and provide insights into how macroeconomic conditions shape public health outcomes in Italy.

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Publication Details

Journal
The European Journal of Health Economics
Published
2026-06-19
DOI
https://doi.org/10.1007/s10198-026-01944-1
Primary Topic
Employment and Welfare Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Business cycles and mortality in Italy

María Cervini‐Plá, Adriano Ruggiero
The European Journal of Health Economics
Employment and Welfare Studies
article

Business cycles and mortality in Italy

María Cervini‐Plá, Adriano Ruggiero
article en

Abstract

Our study examines the relationship between business cycles and mortality rates in Italy over the period 2004-2019. Using the unemployment rate as a proxy for macroeconomic conditions, we investigate how economic fluctuations affect mortality rates across causes of death, age groups, genders, and educational levels. The analysis relies on data from the National Institute of Statistics (ISTAT) and applies panel data methods to control for province-specific heterogeneity and time effects. The findings reveal a procyclical pattern, with higher unemployment rates associated with lower mortality. Substantial heterogeneity emerges across demographic groups and causes of death. To test robustness, the analysis is extended to include the COVID-19 pandemic years (2020-2021), thereby assessing its impact on the previously identified relationships. Results suggest that the pandemic disrupted established unemployment-mortality dynamics, particularly for transport accidents and respiratory diseases. Overall, the findings highlight the importance of targeted public policies to mitigate health risks during economic expansions and provide insights into how macroeconomic conditions shape public health outcomes in Italy.

The European Journal of Health Economics
Universitat Autònoma de Barcelona (ES), University of Bari Aldo Moro (IT)
Universitat Autònoma de Barcelona
Good health and well-being
Openalex Percentile: Top 5%
Employment and Welfare Studies
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