H
Hannes Kröger
Researcher at German Institute for Economic Research
Publications - 39
Citations - 748
Hannes Kröger is an academic researcher from German Institute for Economic Research. The author has contributed to research in topics: Life course approach & Socioeconomic status. The author has an hindex of 11, co-authored 37 publications receiving 498 citations. Previous affiliations of Hannes Kröger include European University Institute.
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What causes health inequality? A systematic review on the relative importance of social causation and health selection
TL;DR: Results show that studies using indicators for socio-economic status (SES) that are closely related to the labor market find equal support for health selection and social causation, whereas indicators of SES like education and income yield results that are in favor of the social causation hypothesis.
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Pathways between socioeconomic status and health: Does health selection or social causation dominate in Europe?
TL;DR: This study shows that both social causation and health selection are responsible for health inequalities; however, their relative importance changes with age.
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The long arm of childhood circumstances on health in old age : evidence from SHARELIFE
TL;DR: The notion of the ‘long arm of childhood’ is concluded that it is a lengthy, mediated, incremental progression rather than a direct effect when it comes to socioeconomic determinants.
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Social Causation Versus Health Selection in the Life Course: Does Their Relative Importance Differ by Dimension of SES?
TL;DR: In the transition from adulthood to old age, social causation becomes more important than health selection, making it the dominant mechanism in old age.
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Statistical methods for causal analysis in life course research: an illustration of a cross-lagged structural equation model, a latent growth model, and an autoregressive latent trajectories model
TL;DR: In this article, the authors present three statistical methods for causal analysis in life course research that are able to take into account the order of events and their possible causal relationship: a cross-lagged model, a latent growth model (LGM), and a synthesis of the two, an autoregressive latent trajectories model (ALT).