{"title":"历史人口普查记录关联。","authors":"Steven Ruggles, Catherine Fitch, Evan Roberts","doi":"10.1146/annurev-soc-073117-041447","DOIUrl":null,"url":null,"abstract":"<p><p>For the past 80 years, social scientists have been linking historical censuses across time to study economic and geographic mobility. In recent decades, the quantity of historical census record linkage has exploded, owing largely to the advent of new machine-readable data created by genealogical organizations. Investigators are examining economic and geographic mobility across multiple generations, but also engaging many new topics. Several analysts are exploring the effects of early-life socioeconomic conditions, environmental exposures, or natural disasters on family, health and economic outcomes in later life. Other studies exploit natural experiments to gauge the impact of policy interventions such as social welfare programs and educational reforms. The new data sources have led to a proliferation of record linkage methodology, and some widespread approaches inadvertently introduce errors that can lead to false inferences. A new generation of large-scale shared data infrastructure now in preparation will ameliorate weaknesses of current linkage methods.</p>","PeriodicalId":51353,"journal":{"name":"Annual Review of Sociology","volume":"44 ","pages":"19-37"},"PeriodicalIF":8.9000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6200350/pdf/nihms947039.pdf","citationCount":"0","resultStr":"{\"title\":\"Historical Census Record Linkage.\",\"authors\":\"Steven Ruggles, Catherine Fitch, Evan Roberts\",\"doi\":\"10.1146/annurev-soc-073117-041447\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>For the past 80 years, social scientists have been linking historical censuses across time to study economic and geographic mobility. In recent decades, the quantity of historical census record linkage has exploded, owing largely to the advent of new machine-readable data created by genealogical organizations. Investigators are examining economic and geographic mobility across multiple generations, but also engaging many new topics. Several analysts are exploring the effects of early-life socioeconomic conditions, environmental exposures, or natural disasters on family, health and economic outcomes in later life. Other studies exploit natural experiments to gauge the impact of policy interventions such as social welfare programs and educational reforms. The new data sources have led to a proliferation of record linkage methodology, and some widespread approaches inadvertently introduce errors that can lead to false inferences. A new generation of large-scale shared data infrastructure now in preparation will ameliorate weaknesses of current linkage methods.</p>\",\"PeriodicalId\":51353,\"journal\":{\"name\":\"Annual Review of Sociology\",\"volume\":\"44 \",\"pages\":\"19-37\"},\"PeriodicalIF\":8.9000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6200350/pdf/nihms947039.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annual Review of Sociology\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1146/annurev-soc-073117-041447\",\"RegionNum\":1,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2018/5/18 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"SOCIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual Review of Sociology","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1146/annurev-soc-073117-041447","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2018/5/18 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"SOCIOLOGY","Score":null,"Total":0}
For the past 80 years, social scientists have been linking historical censuses across time to study economic and geographic mobility. In recent decades, the quantity of historical census record linkage has exploded, owing largely to the advent of new machine-readable data created by genealogical organizations. Investigators are examining economic and geographic mobility across multiple generations, but also engaging many new topics. Several analysts are exploring the effects of early-life socioeconomic conditions, environmental exposures, or natural disasters on family, health and economic outcomes in later life. Other studies exploit natural experiments to gauge the impact of policy interventions such as social welfare programs and educational reforms. The new data sources have led to a proliferation of record linkage methodology, and some widespread approaches inadvertently introduce errors that can lead to false inferences. A new generation of large-scale shared data infrastructure now in preparation will ameliorate weaknesses of current linkage methods.
期刊介绍:
The Annual Review of Sociology, established in 1975, provides comprehensive coverage of significant developments in the field of sociology. The journal encompasses a wide range of topics, including major theoretical and methodological advancements, as well as current research across major subfields within sociology.
Topics Covered:
Social Processes
Institutions and Culture
Organizations
Political and Economic Sociology
Stratification
Demography
Urban Sociology
Social Policy
Historical Sociology
Major Developments in Sociology in Other Regions of the World
Content:
Review chapters within the journal typically delve into these topics, offering in-depth analyses and insights into various aspects of sociology. These chapters serve to provide readers with a comprehensive understanding of the field's current state and recent advancements.