Measuring Educational Inequalities in Mortality Statistics:
All OECD countries are faced with substantial inequalities in health status between socioeconomic groups within their populations. One aspect of these inequalities for which data are routinely available in many countries is inequalities in mortality by level of education: people with a lower level o...
Gespeichert in:
1. Verfasser: | |
---|---|
Weitere Verfasser: | , , |
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Paris
OECD Publishing
2015
|
Schriftenreihe: | OECD Statistics Working Papers
|
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | All OECD countries are faced with substantial inequalities in health status between socioeconomic groups within their populations. One aspect of these inequalities for which data are routinely available in many countries is inequalities in mortality by level of education: people with a lower level of education typically have considerably higher death rates and lower life expectancy than people with a higher level of education. The OECD recently started a project to generate measures of the distributions of ages at death by educational level, gender and cause of death for as many countries as possible. This working paper aims to highlight the most important methodological issues to be faced when trying to create valid statistics on mortality by level of education, and to highlight how different methodologies may affect results and comparisons. Topics covered include study designs (e.g. use of cross-sectional census-unlinked versus longitudinal census-linked data), data harmonization issues (e.g. use of a common educational classification scheme), and data analysis issues (e.g. choice of a summary measure of inequalities in mortality). The paper ends with a number of recommendations for data analysts |
Beschreibung: | 1 Online-Ressource (38 Seiten) 21 x 29.7cm |
DOI: | 10.1787/5jrqppx182zs-en |
Internformat
MARC
LEADER | 00000nam a2200000zc 4500 | ||
---|---|---|---|
001 | BV047932160 | ||
003 | DE-604 | ||
007 | cr|uuu---uuuuu | ||
008 | 220413s2015 xx o|||| 00||| eng d | ||
024 | 7 | |a 10.1787/5jrqppx182zs-en |2 doi | |
035 | |a (ZDB-13-SOC)061310956 | ||
035 | |a (OCoLC)1312703627 | ||
035 | |a (DE-599)BVBBV047932160 | ||
040 | |a DE-604 |b ger |e aacr | ||
041 | 0 | |a eng | |
049 | |a DE-384 |a DE-91 |a DE-473 |a DE-824 |a DE-29 |a DE-739 |a DE-355 |a DE-20 |a DE-1028 |a DE-1049 |a DE-188 |a DE-521 |a DE-861 |a DE-898 |a DE-92 |a DE-573 |a DE-19 | ||
100 | 1 | |a Mackenbach, Johan |e Verfasser |4 aut | |
245 | 1 | 0 | |a Measuring Educational Inequalities in Mortality Statistics |c Johan Mackenbach ... [et al] |
264 | 1 | |a Paris |b OECD Publishing |c 2015 | |
300 | |a 1 Online-Ressource (38 Seiten) |c 21 x 29.7cm | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
490 | 0 | |a OECD Statistics Working Papers | |
520 | |a All OECD countries are faced with substantial inequalities in health status between socioeconomic groups within their populations. One aspect of these inequalities for which data are routinely available in many countries is inequalities in mortality by level of education: people with a lower level of education typically have considerably higher death rates and lower life expectancy than people with a higher level of education. The OECD recently started a project to generate measures of the distributions of ages at death by educational level, gender and cause of death for as many countries as possible. This working paper aims to highlight the most important methodological issues to be faced when trying to create valid statistics on mortality by level of education, and to highlight how different methodologies may affect results and comparisons. Topics covered include study designs (e.g. use of cross-sectional census-unlinked versus longitudinal census-linked data), data harmonization issues (e.g. use of a common educational classification scheme), and data analysis issues (e.g. choice of a summary measure of inequalities in mortality). The paper ends with a number of recommendations for data analysts | ||
650 | 4 | |a Economics | |
700 | 1 | |a Menvielle, Gwenn |4 ctb | |
700 | 1 | |a Jasilionis, Domantas |4 ctb | |
700 | 1 | |a de Gelder, Rianne |4 ctb | |
856 | 4 | 0 | |u https://doi.org/10.1787/5jrqppx182zs-en |x Verlag |z kostenfrei |3 Volltext |
912 | |a ZDB-13-SOC | ||
943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-033313654 |
Datensatz im Suchindex
_version_ | 1818806027444813824 |
---|---|
adam_text | |
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Mackenbach, Johan |
author2 | Menvielle, Gwenn Jasilionis, Domantas de Gelder, Rianne |
author2_role | ctb ctb ctb |
author2_variant | g m gm d j dj g r d gr grd |
author_facet | Mackenbach, Johan Menvielle, Gwenn Jasilionis, Domantas de Gelder, Rianne |
author_role | aut |
author_sort | Mackenbach, Johan |
author_variant | j m jm |
building | Verbundindex |
bvnumber | BV047932160 |
collection | ZDB-13-SOC |
ctrlnum | (ZDB-13-SOC)061310956 (OCoLC)1312703627 (DE-599)BVBBV047932160 |
discipline | Wirtschaftswissenschaften |
discipline_str_mv | Wirtschaftswissenschaften |
doi_str_mv | 10.1787/5jrqppx182zs-en |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000zc 4500</leader><controlfield tag="001">BV047932160</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">220413s2015 xx o|||| 00||| eng d</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1787/5jrqppx182zs-en</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-13-SOC)061310956</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1312703627</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047932160</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-384</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-473</subfield><subfield code="a">DE-824</subfield><subfield code="a">DE-29</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-355</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-1028</subfield><subfield code="a">DE-1049</subfield><subfield code="a">DE-188</subfield><subfield code="a">DE-521</subfield><subfield code="a">DE-861</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-573</subfield><subfield code="a">DE-19</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Mackenbach, Johan</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Measuring Educational Inequalities in Mortality Statistics</subfield><subfield code="c">Johan Mackenbach ... [et al]</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Paris</subfield><subfield code="b">OECD Publishing</subfield><subfield code="c">2015</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (38 Seiten)</subfield><subfield code="c">21 x 29.7cm</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">OECD Statistics Working Papers</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">All OECD countries are faced with substantial inequalities in health status between socioeconomic groups within their populations. One aspect of these inequalities for which data are routinely available in many countries is inequalities in mortality by level of education: people with a lower level of education typically have considerably higher death rates and lower life expectancy than people with a higher level of education. The OECD recently started a project to generate measures of the distributions of ages at death by educational level, gender and cause of death for as many countries as possible. This working paper aims to highlight the most important methodological issues to be faced when trying to create valid statistics on mortality by level of education, and to highlight how different methodologies may affect results and comparisons. Topics covered include study designs (e.g. use of cross-sectional census-unlinked versus longitudinal census-linked data), data harmonization issues (e.g. use of a common educational classification scheme), and data analysis issues (e.g. choice of a summary measure of inequalities in mortality). The paper ends with a number of recommendations for data analysts</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Economics</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Menvielle, Gwenn</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jasilionis, Domantas</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">de Gelder, Rianne</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1787/5jrqppx182zs-en</subfield><subfield code="x">Verlag</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-13-SOC</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033313654</subfield></datafield></record></collection> |
id | DE-604.BV047932160 |
illustrated | Not Illustrated |
index_date | 2024-07-03T19:34:58Z |
indexdate | 2024-12-18T19:03:14Z |
institution | BVB |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033313654 |
oclc_num | 1312703627 |
open_access_boolean | 1 |
owner | DE-384 DE-91 DE-BY-TUM DE-473 DE-BY-UBG DE-824 DE-29 DE-739 DE-355 DE-BY-UBR DE-20 DE-1028 DE-1049 DE-188 DE-521 DE-861 DE-898 DE-BY-UBR DE-92 DE-573 DE-19 DE-BY-UBM |
owner_facet | DE-384 DE-91 DE-BY-TUM DE-473 DE-BY-UBG DE-824 DE-29 DE-739 DE-355 DE-BY-UBR DE-20 DE-1028 DE-1049 DE-188 DE-521 DE-861 DE-898 DE-BY-UBR DE-92 DE-573 DE-19 DE-BY-UBM |
physical | 1 Online-Ressource (38 Seiten) 21 x 29.7cm |
psigel | ZDB-13-SOC |
publishDate | 2015 |
publishDateSearch | 2015 |
publishDateSort | 2015 |
publisher | OECD Publishing |
record_format | marc |
series2 | OECD Statistics Working Papers |
spelling | Mackenbach, Johan Verfasser aut Measuring Educational Inequalities in Mortality Statistics Johan Mackenbach ... [et al] Paris OECD Publishing 2015 1 Online-Ressource (38 Seiten) 21 x 29.7cm txt rdacontent c rdamedia cr rdacarrier OECD Statistics Working Papers All OECD countries are faced with substantial inequalities in health status between socioeconomic groups within their populations. One aspect of these inequalities for which data are routinely available in many countries is inequalities in mortality by level of education: people with a lower level of education typically have considerably higher death rates and lower life expectancy than people with a higher level of education. The OECD recently started a project to generate measures of the distributions of ages at death by educational level, gender and cause of death for as many countries as possible. This working paper aims to highlight the most important methodological issues to be faced when trying to create valid statistics on mortality by level of education, and to highlight how different methodologies may affect results and comparisons. Topics covered include study designs (e.g. use of cross-sectional census-unlinked versus longitudinal census-linked data), data harmonization issues (e.g. use of a common educational classification scheme), and data analysis issues (e.g. choice of a summary measure of inequalities in mortality). The paper ends with a number of recommendations for data analysts Economics Menvielle, Gwenn ctb Jasilionis, Domantas ctb de Gelder, Rianne ctb https://doi.org/10.1787/5jrqppx182zs-en Verlag kostenfrei Volltext |
spellingShingle | Mackenbach, Johan Measuring Educational Inequalities in Mortality Statistics Economics |
title | Measuring Educational Inequalities in Mortality Statistics |
title_auth | Measuring Educational Inequalities in Mortality Statistics |
title_exact_search | Measuring Educational Inequalities in Mortality Statistics |
title_exact_search_txtP | Measuring Educational Inequalities in Mortality Statistics |
title_full | Measuring Educational Inequalities in Mortality Statistics Johan Mackenbach ... [et al] |
title_fullStr | Measuring Educational Inequalities in Mortality Statistics Johan Mackenbach ... [et al] |
title_full_unstemmed | Measuring Educational Inequalities in Mortality Statistics Johan Mackenbach ... [et al] |
title_short | Measuring Educational Inequalities in Mortality Statistics |
title_sort | measuring educational inequalities in mortality statistics |
topic | Economics |
topic_facet | Economics |
url | https://doi.org/10.1787/5jrqppx182zs-en |
work_keys_str_mv | AT mackenbachjohan measuringeducationalinequalitiesinmortalitystatistics AT menviellegwenn measuringeducationalinequalitiesinmortalitystatistics AT jasilionisdomantas measuringeducationalinequalitiesinmortalitystatistics AT degelderrianne measuringeducationalinequalitiesinmortalitystatistics |