{"title":"寿命和损失的生命年数如何等同于统一性","authors":"Annette Baudisch, J. Aburto","doi":"10.4054/demres.2024.50.24","DOIUrl":null,"url":null,"abstract":"BACKGROUND Life expectancy at birth ( e 0 ), life years lost at death ( e † ), and lifetable entropy ( H ) are key indicators that capture average lifespan and lifespan variation. Expressions and relationships among these summary measures form the basis to analytically derive a range of formal demographic relationships, that build on each other and together help create new insights. Even though many elegant relationships are known, new ones are still to be discovered.","PeriodicalId":48242,"journal":{"name":"Demographic Research","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How lifespan and life years lost equate to unity\",\"authors\":\"Annette Baudisch, J. Aburto\",\"doi\":\"10.4054/demres.2024.50.24\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"BACKGROUND Life expectancy at birth ( e 0 ), life years lost at death ( e † ), and lifetable entropy ( H ) are key indicators that capture average lifespan and lifespan variation. Expressions and relationships among these summary measures form the basis to analytically derive a range of formal demographic relationships, that build on each other and together help create new insights. Even though many elegant relationships are known, new ones are still to be discovered.\",\"PeriodicalId\":48242,\"journal\":{\"name\":\"Demographic Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-04-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Demographic Research\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.4054/demres.2024.50.24\",\"RegionNum\":3,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"DEMOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Demographic Research","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.4054/demres.2024.50.24","RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"DEMOGRAPHY","Score":null,"Total":0}
BACKGROUND Life expectancy at birth ( e 0 ), life years lost at death ( e † ), and lifetable entropy ( H ) are key indicators that capture average lifespan and lifespan variation. Expressions and relationships among these summary measures form the basis to analytically derive a range of formal demographic relationships, that build on each other and together help create new insights. Even though many elegant relationships are known, new ones are still to be discovered.
期刊介绍:
Demographic Research is a free, online, open access, peer-reviewed journal of the population sciences published by the Max Planck Institute for Demographic Research in Rostock, Germany. The journal pioneers an expedited review system. Contributions can generally be published within one month after final acceptance.