posts: 29186
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29186 | Inequality of Life Length – Gini over the long run by Peltzman | untitled-reusable-block-177 | wp_block | publish | <!-- wp:paragraph --> <p>The inequality in years of life between people within the same country can be measured in the same way that we measure, for example, the <a href="https://owid.cloud/income-inequality">inequality in the distribution of incomes</a>. The idea is to estimate the extent to which a small share of a country's population concentrates a large 'stock of health', hence living much longer than most of the population in the same country.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>The following visualization presents estimates of the inequality of lifetimes as measured by the Gini coefficient. A high Gini coefficient here means a very unequal distribution of years of life – that is, large within-country inequalities of the number of years that people live. These estimates are from Peltzman (2009){ref}Sam Peltzman, “Mortality Inequality”, Journal of Economic Perspectives 23(4), Fall 2009: 175-19. Online <a href="https://www.aeaweb.org/articles.php?doi=10.1257/jep.23.4.175">here</a>.{/ref}, where you can find more details regarding the underlying sources and estimation methodology.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>As can be seen in the chart, inequality in health outcomes has fallen strongly within many countries.</p> <!-- /wp:paragraph --> <!-- wp:html --> <iframe style="width: 100%; height: 600px; border: 0px none;" src="https://ourworldindata.org/grapher/inequality-of-life-as-measured-by-mortality-gini-coefficient-1742-2002?country=England%20and%20Wales+DEU+SWE+USA" width="300" height="150"></iframe> <!-- /wp:html --> | { "id": "wp-29186", "slug": "untitled-reusable-block-177", "content": { "toc": [], "body": [ { "type": "text", "value": [ { "text": "The inequality in years of life between people within the same country can be measured in the same way that we measure, for example, the ", "spanType": "span-simple-text" }, { "url": "https://owid.cloud/income-inequality", "children": [ { "text": "inequality in the distribution of incomes", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". The idea is to estimate the extent to which a small share of a country's population concentrates a large 'stock of health', hence living much longer than most of the population in the same country.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "The following visualization presents estimates of the inequality of lifetimes as measured by the Gini coefficient. A high Gini coefficient here means a very unequal distribution of years of life \u2013 that is, large within-country inequalities of the number of years that people live. These estimates are from Peltzman (2009){ref}Sam Peltzman,\u00a0\u201cMortality Inequality\u201d, Journal of Economic Perspectives 23(4), Fall 2009: 175-19. Online ", "spanType": "span-simple-text" }, { "url": "https://www.aeaweb.org/articles.php?doi=10.1257/jep.23.4.175", "children": [ { "text": "here", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ".{/ref}, where you can find more details regarding the underlying sources and estimation methodology.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "As can be seen in the chart, inequality in health outcomes has fallen strongly within many countries.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "url": "https://ourworldindata.org/grapher/inequality-of-life-as-measured-by-mortality-gini-coefficient-1742-2002?country=England%20and%20Wales+DEU+SWE+USA", "type": "chart", "parseErrors": [] } ], "type": "article", "title": "Inequality of Life Length \u2013 Gini over the long run by Peltzman", "authors": [ null ], "dateline": "December 19, 2019", "sidebar-toc": false, "featured-image": "" }, "createdAt": "2019-12-19T15:34:10.000Z", "published": false, "updatedAt": "2020-04-30T14:00:11.000Z", "revisionId": null, "publishedAt": "2019-12-19T15:33:42.000Z", "relatedCharts": [], "publicationContext": "listed" } |
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2019-12-19 15:33:42 | 2024-02-16 14:22:59 | [ null ] |
2019-12-19 15:34:10 | 2020-04-30 14:00:11 | {} |
The inequality in years of life between people within the same country can be measured in the same way that we measure, for example, the [inequality in the distribution of incomes](https://owid.cloud/income-inequality). The idea is to estimate the extent to which a small share of a country's population concentrates a large 'stock of health', hence living much longer than most of the population in the same country. The following visualization presents estimates of the inequality of lifetimes as measured by the Gini coefficient. A high Gini coefficient here means a very unequal distribution of years of life – that is, large within-country inequalities of the number of years that people live. These estimates are from Peltzman (2009){ref}Sam Peltzman, “Mortality Inequality”, Journal of Economic Perspectives 23(4), Fall 2009: 175-19. Online [here](https://www.aeaweb.org/articles.php?doi=10.1257/jep.23.4.175).{/ref}, where you can find more details regarding the underlying sources and estimation methodology. As can be seen in the chart, inequality in health outcomes has fallen strongly within many countries. <Chart url="https://ourworldindata.org/grapher/inequality-of-life-as-measured-by-mortality-gini-coefficient-1742-2002?country=England%20and%20Wales+DEU+SWE+USA"/> | { "data": { "wpBlock": { "content": "\n<p>The inequality in years of life between people within the same country can be measured in the same way that we measure, for example, the <a href=\"https://owid.cloud/income-inequality\">inequality in the distribution of incomes</a>. The idea is to estimate the extent to which a small share of a country’s population concentrates a large ‘stock of health’, hence living much longer than most of the population in the same country.</p>\n\n\n\n<p>The following visualization presents estimates of the inequality of lifetimes as measured by the Gini coefficient. A high Gini coefficient here means a very unequal distribution of years of life \u2013 that is, large within-country inequalities of the number of years that people live. These estimates are from Peltzman (2009){ref}Sam Peltzman, \u201cMortality Inequality\u201d, Journal of Economic Perspectives 23(4), Fall 2009: 175-19. Online <a href=\"https://www.aeaweb.org/articles.php?doi=10.1257/jep.23.4.175\">here</a>.{/ref}, where you can find more details regarding the underlying sources and estimation methodology.</p>\n\n\n\n<p>As can be seen in the chart, inequality in health outcomes has fallen strongly within many countries.</p>\n\n\n\n<iframe loading=\"lazy\" style=\"width: 100%; height: 600px; border: 0px none;\" src=\"https://ourworldindata.org/grapher/inequality-of-life-as-measured-by-mortality-gini-coefficient-1742-2002?country=England%20and%20Wales+DEU+SWE+USA\" width=\"300\" height=\"150\"></iframe>\n" } }, "extensions": { "debug": [ { "type": "DEBUG_LOGS_INACTIVE", "message": "GraphQL Debug logging is not active. To see debug logs, GRAPHQL_DEBUG must be enabled." } ] } } |