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Determinants of life expectancy at birth: a longitudinal study on OECD countries

Author

Listed:
  • Paolo Roffia

    (University of Verona, Polo S. Marta)

  • Alessandro Bucciol

    (University of Verona, Polo S. Marta)

  • Sara Hashlamoun

    (University of Verona, Polo S. Marta)

Abstract

This paper analyses the influence of several determinants on life expectancy at birth in 36 OECD countries over the 1999–2018 period. We utilized a cross-country fixed-effects multiple regression analysis with year and country dummies and used dynamic models, backward stepwise selection, and Arellano–Bond estimators to treat potential endogeneity issues. The results show the influence of per capita health-care expenditure, incidence of out-of-pocket expenditure, physician density, hospital bed density, social spending, GDP level, participation ratio to labour, prevalence of chronic respiratory diseases, temperature, and total size of the population on life expectancy at birth. In line with previous studies, this analysis confirms the relevance of both health care expenditure and health care system (physicians and hospital beds in our analysis) in influencing a country’s population life expectancy. It also outlines the importance of other factors related to population behaviour and social spending jointly considered on this outcome. Policy makers should carefully consider these mutual influences when allocating public funds, particularly after the COVID-19 pandemic period.

Suggested Citation

  • Paolo Roffia & Alessandro Bucciol & Sara Hashlamoun, 2023. "Determinants of life expectancy at birth: a longitudinal study on OECD countries," International Journal of Health Economics and Management, Springer, vol. 23(2), pages 189-212, June.
  • Handle: RePEc:kap:ijhcfe:v:23:y:2023:i:2:d:10.1007_s10754-022-09338-5
    DOI: 10.1007/s10754-022-09338-5
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    Cited by:

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    More about this item

    Keywords

    Life expectancy; Health-care system; Health expenditure; OECD countries; COVID-19;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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