Abstract
Reducing inequalities in income and health, within and between countries, is a global priority for the WHO. This study seeks to examine income inequality as a predictor of life expectancy in Colombia. To achieve this, a cross-sectional panel data model was developed using the DANE’s Quality of Life Survey. The predictor variables of life expectancy were the Gini coefficient, GDP per capita and, in a novel way, monetary poverty, between 2012 and 2019. The results indicate that these variables have a significant impact on life expectancy, while no significant impact on social mobility was found. The findings can guide public policy and governmental decision-making in Colombia.
| Translated title of the contribution | The impact of income inequality on life expectancy and health in Colombia |
|---|---|
| Original language | Spanish |
| Pages (from-to) | 429-451 |
| Number of pages | 23 |
| Journal | Revista Científica General José María Córdova |
| Volume | 21 |
| Issue number | 42 |
| DOIs | |
| State | Published - 01 Apr 2023 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 10 Reduced Inequalities
Keywords
- GDP per capita
- Gini coefficient
- government policy
- inequality
- life expectancy
- poverty
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