{"title":"估计因年金、保险和其他终身或有合同而导致的死亡率。","authors":"G. Alter","doi":"10.1080/01615440.1983.10594099","DOIUrl":null,"url":null,"abstract":"The author addresses \"three problems in converting data from life contingent contracts into mortality estimates. First [he discusses] how age period and cohort effects can be identified and the construction of age specific mortality rates for periods and cohorts. Second an indirect standardization procedure for estimating the overall level of mortality from a partial life table [is] proposed. Third bias due to the selection of healthy nominees in annuities and insurance [is] discussed and shown to be a period effect of short duration.\" \"The methods presented here were developed for use with the records of a life annuity sold in Amsterdam between 1586 and 1590 which are used for illustration.\" (EXCERPT)","PeriodicalId":45535,"journal":{"name":"Historical Methods","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"1983-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/01615440.1983.10594099","citationCount":"4","resultStr":"{\"title\":\"Estimating mortality from annuities, insurance, and other life contingent contracts.\",\"authors\":\"G. Alter\",\"doi\":\"10.1080/01615440.1983.10594099\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The author addresses \\\"three problems in converting data from life contingent contracts into mortality estimates. First [he discusses] how age period and cohort effects can be identified and the construction of age specific mortality rates for periods and cohorts. Second an indirect standardization procedure for estimating the overall level of mortality from a partial life table [is] proposed. Third bias due to the selection of healthy nominees in annuities and insurance [is] discussed and shown to be a period effect of short duration.\\\" \\\"The methods presented here were developed for use with the records of a life annuity sold in Amsterdam between 1586 and 1590 which are used for illustration.\\\" (EXCERPT)\",\"PeriodicalId\":45535,\"journal\":{\"name\":\"Historical Methods\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"1983-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/01615440.1983.10594099\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Historical Methods\",\"FirstCategoryId\":\"98\",\"ListUrlMain\":\"https://doi.org/10.1080/01615440.1983.10594099\",\"RegionNum\":2,\"RegionCategory\":\"历史学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HISTORY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Historical Methods","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1080/01615440.1983.10594099","RegionNum":2,"RegionCategory":"历史学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HISTORY","Score":null,"Total":0}
Estimating mortality from annuities, insurance, and other life contingent contracts.
The author addresses "three problems in converting data from life contingent contracts into mortality estimates. First [he discusses] how age period and cohort effects can be identified and the construction of age specific mortality rates for periods and cohorts. Second an indirect standardization procedure for estimating the overall level of mortality from a partial life table [is] proposed. Third bias due to the selection of healthy nominees in annuities and insurance [is] discussed and shown to be a period effect of short duration." "The methods presented here were developed for use with the records of a life annuity sold in Amsterdam between 1586 and 1590 which are used for illustration." (EXCERPT)
期刊介绍：
Historical Methodsreaches an international audience of social scientists concerned with historical problems. It explores interdisciplinary approaches to new data sources, new approaches to older questions and material, and practical discussions of computer and statistical methodology, data collection, and sampling procedures. The journal includes the following features: “Evidence Matters” emphasizes how to find, decipher, and analyze evidence whether or not that evidence is meant to be quantified. “Database Developments” announces major new public databases or large alterations in older ones, discusses innovative ways to organize them, and explains new ways of categorizing information.
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