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The relationship between corruption and chronic diseases: evidence from Europeans aged 50 years and older.


ABSTRACT:

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.

SUBMITTER: Ferrari L 

PROVIDER: S-EPMC7183492 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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The relationship between corruption and chronic diseases: evidence from Europeans aged 50 years and older.

Ferrari Lorenzo L   Salustri Francesco F  

International journal of public health 20200326 3


<h4>Objectives</h4>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.<h4>Methods</h4>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 h  ...[more]

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