{"title":"需要有全国代表性的纵向数据来解决有关家庭变化的关键问题","authors":"R. Kelly Raley","doi":"10.3233/JEM-150404","DOIUrl":null,"url":null,"abstract":"The United States is undergoing rapid social change. The nation faces declines in stable family formation, related to growing income inequalities and stalled improvements in population health. This essay considers key questions about families in the United States and whether a new nationally representative panel study is necessary to answer these questions. It argues that current data systems are not well equipped to evaluate the potential sources of these changes over historical time. Most of our longitudinal data systems are designed to follow a single cohort as it ages. This provides an incomplete picture, one that ignores period context, because cohort studies confound period changes with aging. Comparisons across cohort studies can be helpful, but leave a wide gap in our knowledge. A new nationally representative panel study would fill that gap.","PeriodicalId":53705,"journal":{"name":"Journal of Economic and Social Measurement","volume":"40 1","pages":"463-471"},"PeriodicalIF":0.0000,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3233/JEM-150404","citationCount":"1","resultStr":"{\"title\":\"The need for nationally representative longitudinal data for addressing key questions about family change\",\"authors\":\"R. Kelly Raley\",\"doi\":\"10.3233/JEM-150404\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The United States is undergoing rapid social change. The nation faces declines in stable family formation, related to growing income inequalities and stalled improvements in population health. This essay considers key questions about families in the United States and whether a new nationally representative panel study is necessary to answer these questions. It argues that current data systems are not well equipped to evaluate the potential sources of these changes over historical time. Most of our longitudinal data systems are designed to follow a single cohort as it ages. This provides an incomplete picture, one that ignores period context, because cohort studies confound period changes with aging. Comparisons across cohort studies can be helpful, but leave a wide gap in our knowledge. A new nationally representative panel study would fill that gap.\",\"PeriodicalId\":53705,\"journal\":{\"name\":\"Journal of Economic and Social Measurement\",\"volume\":\"40 1\",\"pages\":\"463-471\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.3233/JEM-150404\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Economic and Social Measurement\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3233/JEM-150404\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Economic and Social Measurement","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/JEM-150404","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
The need for nationally representative longitudinal data for addressing key questions about family change
The United States is undergoing rapid social change. The nation faces declines in stable family formation, related to growing income inequalities and stalled improvements in population health. This essay considers key questions about families in the United States and whether a new nationally representative panel study is necessary to answer these questions. It argues that current data systems are not well equipped to evaluate the potential sources of these changes over historical time. Most of our longitudinal data systems are designed to follow a single cohort as it ages. This provides an incomplete picture, one that ignores period context, because cohort studies confound period changes with aging. Comparisons across cohort studies can be helpful, but leave a wide gap in our knowledge. A new nationally representative panel study would fill that gap.
期刊介绍:
The Journal of Economic and Social Measurement (JESM) is a quarterly journal that is concerned with the investigation of all aspects of production, distribution and use of economic and other societal statistical data, and with the use of computers in that context. JESM publishes articles that consider the statistical methodology of economic and social science measurements. It is concerned with the methods and problems of data distribution, including the design and implementation of data base systems and, more generally, computer software and hardware for distributing and accessing statistical data files. Its focus on computer software also includes the valuation of algorithms and their implementation, assessing the degree to which particular algorithms may yield more or less accurate computed results. It addresses the technical and even legal problems of the collection and use of data, legislation and administrative actions affecting government produced or distributed data files, and similar topics. The journal serves as a forum for the exchange of information and views between data producers and users. In addition, it considers the various uses to which statistical data may be put, particularly to the degree that these uses illustrate or affect the properties of the data. The data considered in JESM are usually economic or social, as mentioned, but this is not a requirement; the editorial policies of JESM do not place a priori restrictions upon the data that might be considered within individual articles. Furthermore, there are no limitations concerning the source of the data.