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A Life Course Perspective on the Income-to-Health Relationship: Macro-Empirical Evidence from Two Centuries

Author

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  • Nagel, Korbinian

    (Helmut Schmidt University, Hamburg)

Abstract

The epidemiological literature discusses two contrary hypotheses that describe life course variations in the income-to-health relationship: the cumulative advantage and the age as leveller hypothesis. Since related micro level studies are criticised due to an income-rank effect, this study transfers the investigation of both hypotheses to a macro level with a long time horizon. It asks whether increases in per capita income improve population health and whether the improvements differ across population age groups. The analysis uses an unbalanced panel data set with 20 countries and up to 211 years, and relies on an error correction and common factor framework to investigate the long-run equlibrium relationship between income and selected measures of age specific population health. A significant effect of per capita income on survival rates is found for middle ages but not for very young and for old ages. From this it can be concluded that while the cumulative advantage theory describes the transition from young to middle ages, the transition from middle to old ages corresponds to the age as leveller mechanism.

Suggested Citation

  • Nagel, Korbinian, 2016. "A Life Course Perspective on the Income-to-Health Relationship: Macro-Empirical Evidence from Two Centuries," Working Paper 171/2016, Helmut Schmidt University, Hamburg.
    • Handle: RePEc:ris:vhsuwp:2016_171
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    Cited by:

    1. Dewenter, Ralf & Löw, Franziska, 2022. "Endogenous Network Effects," Working Paper 194/2022, Helmut Schmidt University, Hamburg.
    2. Beckmann, Klaus B., 2017. "Bounded rationality in differential games," Working Paper 178/2017, Helmut Schmidt University, Hamburg.
    3. Bantle, Melissa & Muijs, Matthias, 2018. "A new price test in geographic market definition – an application to german retail gasoline market," Working Paper 180/2018, Helmut Schmidt University, Hamburg.

    More about this item

    Keywords

    Population Health; Economic Development; Panel Time Series Analysis; Cumulative Advantage; Age as Leveller;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts

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