Life expectancy by education, income and occupation in Germany: Estimations using the longitudinal survival method
Reliable estimates for differences in life expectancy (LE) by socio-economic position (SEP), that can be assessed in an international context and are comprehensive in terms of considering different SEP dimensions, are missing for the German population so far. The aim of the present study is to fill...
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description | Reliable estimates for differences in life expectancy (LE) by socio-economic position (SEP), that can be assessed in an international context and are comprehensive in terms of considering different SEP dimensions, are missing for the German population so far. The aim of the present study is to fill this gap by providing estimates for differences in LE by education, household income, work status and vocational class. The lack of national mortality data by SEP required an innovative methodological approach to estimate LE from survey data with a mortality follow-up. The main strengths of the method are the low demand on the data, its simple applicability and the estimation of a set of age-specific probabilities of dying. We employed the method to the German Life Expectancy Survey and estimated period life tables for 45 male and 32 female SEP subpopulations. The results show striking differences in LE across all analysed SEP indicators. Among men, LE at age 40 ranges by more than five years between the lowest and highest household income quartiles, more than six years between individuals with low and high education, around ten years across the work status groups, and almost 15 years across the vocational classes. The proportion of those who reach the classic pension age of 65 years also varies considerably, as does the remaining LE at this age. The corresponding differences among women are smaller, yet still notable. The results yield an interesting finding for the ongoing discussion about the various consequences of an increased pension age. Moreover, they provide policy-makers, doctors, researchers and public health workers with insights into Germany’s most disadvantaged SEP subpopulations and the potential extent of their disadvantages in terms of longevity and mortality. |
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The aim of the present study is to fill this gap by providing estimates for differences in LE by education, household income, work status and vocational class. The lack of national mortality data by SEP required an innovative methodological approach to estimate LE from survey data with a mortality follow-up. The main strengths of the method are the low demand on the data, its simple applicability and the estimation of a set of age-specific probabilities of dying. We employed the method to the German Life Expectancy Survey and estimated period life tables for 45 male and 32 female SEP subpopulations. The results show striking differences in LE across all analysed SEP indicators. Among men, LE at age 40 ranges by more than five years between the lowest and highest household income quartiles, more than six years between individuals with low and high education, around ten years across the work status groups, and almost 15 years across the vocational classes. The proportion of those who reach the classic pension age of 65 years also varies considerably, as does the remaining LE at this age. The corresponding differences among women are smaller, yet still notable. The results yield an interesting finding for the ongoing discussion about the various consequences of an increased pension age. Moreover, they provide policy-makers, doctors, researchers and public health workers with insights into Germany’s most disadvantaged SEP subpopulations and the potential extent of their disadvantages in terms of longevity and mortality.</description><identifier>ISSN: 1869-8999</identifier><identifier>ISSN: 1869-8980</identifier><identifier>EISSN: 1869-8999</identifier><identifier>DOI: 10.12765/CPoS-2015-16en</identifier><language>eng</language><publisher>Wiesbaden: Federal Institute for Population Research (BiB)</publisher><subject>Age ; Age differences ; Amtliche Statistik ; Berufsgruppe ; Bevölkerung ; Bildungsniveau ; Data ; Disadvantaged ; Education ; Gender differences ; Germany ; Haushaltseinkommen ; Health care policy ; Households ; Income ; Lebenserwartung ; Life expectancy ; Life tables ; Longitudinal Survival Method ; Methodological approaches ; Mortality ; Occupations ; Policy making ; Public health ; SEP ; Socioeconomic factors ; Soziale Ungleichheit ; Sozialwissenschaften, Soziologie ; Sozioökonomischer Faktor ; Sterblichkeit ; Vocational education ; Work groups</subject><ispartof>Comparative population studies, 2015, Vol.40 (4), p.399-436</ispartof><rights>2015. This work is published under https://creativecommons.org/licenses/by-sa/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,860,881,4010,27321,27843,27900,27901,27902,33751</link.rule.ids><backlink>$$Uhttp://www.fachportal-paedagogik.de/fis_bildung/suche/fis_set.html?FId=1081521$$DAccess content in the German Education Portal$$Hfree_for_read</backlink><backlink>$$Uhttp://www.ssoar.info/ssoar/handle/document/45681$$DView record in SSOAR (Social Science Open Access Repository)$$Hfree_for_read</backlink></links><search><creatorcontrib>Luy, Marc</creatorcontrib><creatorcontrib>Wegner-Siegmundt, Christian</creatorcontrib><creatorcontrib>Wiedemann, Angela</creatorcontrib><creatorcontrib>Spijker, Jeroen</creatorcontrib><title>Life expectancy by education, income and occupation in Germany: Estimations using the longitudinal survival method</title><title>Comparative population studies</title><description>Reliable estimates for differences in life expectancy (LE) by socio-economic position (SEP), that can be assessed in an international context and are comprehensive in terms of considering different SEP dimensions, are missing for the German population so far. The aim of the present study is to fill this gap by providing estimates for differences in LE by education, household income, work status and vocational class. The lack of national mortality data by SEP required an innovative methodological approach to estimate LE from survey data with a mortality follow-up. The main strengths of the method are the low demand on the data, its simple applicability and the estimation of a set of age-specific probabilities of dying. We employed the method to the German Life Expectancy Survey and estimated period life tables for 45 male and 32 female SEP subpopulations. The results show striking differences in LE across all analysed SEP indicators. Among men, LE at age 40 ranges by more than five years between the lowest and highest household income quartiles, more than six years between individuals with low and high education, around ten years across the work status groups, and almost 15 years across the vocational classes. The proportion of those who reach the classic pension age of 65 years also varies considerably, as does the remaining LE at this age. The corresponding differences among women are smaller, yet still notable. The results yield an interesting finding for the ongoing discussion about the various consequences of an increased pension age. Moreover, they provide policy-makers, doctors, researchers and public health workers with insights into Germany’s most disadvantaged SEP subpopulations and the potential extent of their disadvantages in terms of longevity and mortality.</description><subject>Age</subject><subject>Age differences</subject><subject>Amtliche Statistik</subject><subject>Berufsgruppe</subject><subject>Bevölkerung</subject><subject>Bildungsniveau</subject><subject>Data</subject><subject>Disadvantaged</subject><subject>Education</subject><subject>Gender differences</subject><subject>Germany</subject><subject>Haushaltseinkommen</subject><subject>Health care policy</subject><subject>Households</subject><subject>Income</subject><subject>Lebenserwartung</subject><subject>Life expectancy</subject><subject>Life tables</subject><subject>Longitudinal Survival Method</subject><subject>Methodological approaches</subject><subject>Mortality</subject><subject>Occupations</subject><subject>Policy making</subject><subject>Public health</subject><subject>SEP</subject><subject>Socioeconomic factors</subject><subject>Soziale Ungleichheit</subject><subject>Sozialwissenschaften, Soziologie</subject><subject>Sozioökonomischer Faktor</subject><subject>Sterblichkeit</subject><subject>Vocational education</subject><subject>Work groups</subject><issn>1869-8999</issn><issn>1869-8980</issn><issn>1869-8999</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><sourceid>BENPR</sourceid><sourceid>BHHNA</sourceid><recordid>eNpNkM1LxDAQxYMouKx79uCl4MWD1UzSfPQiyKKrUFBw7yVJp9Blm9SmBfvfW1xZdi4zPH68eTOEXAN9AKakeFx_hq-UURApSPRnZAFa5qnO8_z8ZL4kqxh3dC4hQYFckKeiqTHBnw7dYLybEjslWI3ODE3w90njXWgxMb5KgnNj9yfParLBvjV-uiIXtdlHXP33Jdm-vmzXb2nxsXlfPxdpxZgYUqRS5RyVkYpJKixwV0FNFQdpOBdorRNZpa22khsnRF3noOvcWmNYphhfktuDbYzB9GXXN63pp7IKbmzRD2UmpIaZujtQXR--R4xD2TbR4X5vPIYxlqApzaiW4sTwiO7C2Pv5hJLNv1GZ1HO6Jbk5UFXT1cetQDUIBvwXxc5uWQ</recordid><startdate>2015</startdate><enddate>2015</enddate><creator>Luy, Marc</creator><creator>Wegner-Siegmundt, Christian</creator><creator>Wiedemann, Angela</creator><creator>Spijker, Jeroen</creator><general>Federal Institute for Population Research (BiB)</general><scope>9S6</scope><scope>0-V</scope><scope>3V.</scope><scope>7TQ</scope><scope>7U4</scope><scope>7XB</scope><scope>88J</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BFMQW</scope><scope>BHHNA</scope><scope>CCPQU</scope><scope>DHY</scope><scope>DON</scope><scope>DWI</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HEHIP</scope><scope>M2R</scope><scope>M2S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>WZK</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope><scope>RS5</scope></search><sort><creationdate>2015</creationdate><title>Life expectancy by education, income and occupation in Germany</title><author>Luy, Marc ; Wegner-Siegmundt, Christian ; Wiedemann, Angela ; Spijker, Jeroen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-d225t-e06793e7a672605b13cd1f07316a335ebbc54d8b8b63ac55ff918f9bbaa24723</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Age</topic><topic>Age differences</topic><topic>Amtliche Statistik</topic><topic>Berufsgruppe</topic><topic>Bevölkerung</topic><topic>Bildungsniveau</topic><topic>Data</topic><topic>Disadvantaged</topic><topic>Education</topic><topic>Gender differences</topic><topic>Germany</topic><topic>Haushaltseinkommen</topic><topic>Health care policy</topic><topic>Households</topic><topic>Income</topic><topic>Lebenserwartung</topic><topic>Life expectancy</topic><topic>Life tables</topic><topic>Longitudinal Survival Method</topic><topic>Methodological approaches</topic><topic>Mortality</topic><topic>Occupations</topic><topic>Policy making</topic><topic>Public health</topic><topic>SEP</topic><topic>Socioeconomic factors</topic><topic>Soziale Ungleichheit</topic><topic>Sozialwissenschaften, Soziologie</topic><topic>Sozioökonomischer Faktor</topic><topic>Sterblichkeit</topic><topic>Vocational education</topic><topic>Work groups</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Luy, Marc</creatorcontrib><creatorcontrib>Wegner-Siegmundt, Christian</creatorcontrib><creatorcontrib>Wiedemann, Angela</creatorcontrib><creatorcontrib>Spijker, Jeroen</creatorcontrib><collection>FIS Bildung Literaturdatenbank</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>PAIS Index</collection><collection>Sociological Abstracts (pre-2017)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Social Science Database (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Continental Europe Database</collection><collection>Sociological Abstracts</collection><collection>ProQuest One Community College</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>Sociological Abstracts</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>Sociology Collection</collection><collection>Social Science Database</collection><collection>Sociology Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>Sociological Abstracts (Ovid)</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>SSOAR (Social Science Open Access Repository)</collection><jtitle>Comparative population studies</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Luy, Marc</au><au>Wegner-Siegmundt, Christian</au><au>Wiedemann, Angela</au><au>Spijker, Jeroen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Life expectancy by education, income and occupation in Germany: Estimations using the longitudinal survival method</atitle><jtitle>Comparative population studies</jtitle><date>2015</date><risdate>2015</risdate><volume>40</volume><issue>4</issue><spage>399</spage><epage>436</epage><pages>399-436</pages><issn>1869-8999</issn><issn>1869-8980</issn><eissn>1869-8999</eissn><abstract>Reliable estimates for differences in life expectancy (LE) by socio-economic position (SEP), that can be assessed in an international context and are comprehensive in terms of considering different SEP dimensions, are missing for the German population so far. The aim of the present study is to fill this gap by providing estimates for differences in LE by education, household income, work status and vocational class. The lack of national mortality data by SEP required an innovative methodological approach to estimate LE from survey data with a mortality follow-up. The main strengths of the method are the low demand on the data, its simple applicability and the estimation of a set of age-specific probabilities of dying. We employed the method to the German Life Expectancy Survey and estimated period life tables for 45 male and 32 female SEP subpopulations. The results show striking differences in LE across all analysed SEP indicators. Among men, LE at age 40 ranges by more than five years between the lowest and highest household income quartiles, more than six years between individuals with low and high education, around ten years across the work status groups, and almost 15 years across the vocational classes. The proportion of those who reach the classic pension age of 65 years also varies considerably, as does the remaining LE at this age. The corresponding differences among women are smaller, yet still notable. The results yield an interesting finding for the ongoing discussion about the various consequences of an increased pension age. Moreover, they provide policy-makers, doctors, researchers and public health workers with insights into Germany’s most disadvantaged SEP subpopulations and the potential extent of their disadvantages in terms of longevity and mortality.</abstract><cop>Wiesbaden</cop><pub>Federal Institute for Population Research (BiB)</pub><doi>10.12765/CPoS-2015-16en</doi><tpages>38</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Age Age differences Amtliche Statistik Berufsgruppe Bevölkerung Bildungsniveau Data Disadvantaged Education Gender differences Germany Haushaltseinkommen Health care policy Households Income Lebenserwartung Life expectancy Life tables Longitudinal Survival Method Methodological approaches Mortality Occupations Policy making Public health SEP Socioeconomic factors Soziale Ungleichheit Sozialwissenschaften, Soziologie Sozioökonomischer Faktor Sterblichkeit Vocational education Work groups |
title | Life expectancy by education, income and occupation in Germany: Estimations using the longitudinal survival method |
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