The relationship between corruption and chronic diseases: evidence from Europeans aged 50 years and older
Objectives - Do people living in more corrupted countries report worse health? We answer this question by investigating the relationship between country-level corruption and the number of chronic diseases for a sample of Europeans aged above 50. Methods - We link a rich panel dataset on individual h...
| VerfasserInnen: | ; |
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| Medienart: | Elektronisch Aufsatz |
| Sprache: | Englisch |
| Veröffentlicht: |
2020
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| In: |
International journal of public health
Jahr: 2020, Band: 65, Heft: 3, Seiten: 345-355 |
| Online-Zugang: |
Volltext (Verlag) |
| Verfügbarkeit prüfen: | HBZ Gateway |
| Schlagwörter: |
MARC
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| 520 | |a Objectives - Do people living in more corrupted countries report worse health? We answer this question by investigating the relationship between country-level corruption and the number of chronic diseases for a sample of Europeans aged above 50. Methods - We link a rich panel dataset on individual health and socio-demographic characteristics with two country-level corruption indices, analyse the overall relationship with pooled ordinary least squares and fixed-effect models, explore heterogeneous effects driven by country and individual factors, and disentangle the effect across different public sectors. Results - Individuals living in more corrupted countries suffer from a higher number of chronic diseases. The heterogeneity analysis shows that (1) health outcomes are worsened especially for respondents living in relatively low-income countries; (2) the health of females and people with poor socio-economic status is more affected by corruption; (3) the corruption–health negative link mainly occurs for cardiovascular diseases and ulcers; (4) only corrupted sectors linked with healthcare are associated with poorer health. Conclusions - We inform the policy debate with novel results in establishing a nexus between corruption and morbidity indicators. Electronic supplementary material - The online version of this article (10.1007/s00038-020-01347-w) contains supplementary material, which is available to authorized users. | ||
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| 787 | 0 | 8 | |i Forschungsdaten |a Europäische Kommission |t Eurobarometer 88.2 (2018) |d Köln : GESIS, 2022 |w (DE-627)1951222016 |
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