U.S. Participation in the Development of a Transnational Database on Family Income

美国参与家庭收入跨国数据库的开发

• 批准号: 9321507
• 负责人: Timothy Smeeding
• 金额: $ 6.92万
• 依托单位: Syracuse University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-06-01 至 1996-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9321507&HistoricalAwards=false
• 关键词: U.S.; Participation; Development; Transnational; Database

9321507 Smeeding The Luxembourg Income Study (LIS) is an international consortium with a membership of 20 nations located in Europe, the Middle East, North America, and Australia. These countries, via their respective funding organizations, cooperatively support a research center in Luxembourg that standardizes and makes available household-based microdata on incomes for representative samples of member nations' populations. These data are used by over 260 researchers worldwide to analyze economic and social policy structure and its effect on such topics as income structure, poverty and income inequality and wage and earnings differences. Researchers can access the data on-site, or via a computerized telecommunications network. Funds provided by the National Science Foundation constitute United States participation in the consortium. The full cooperation of all member nations is required in order to guarantee feasibility of data retrieval, maintenance of high standards of data quality, and gradual relaxation of methodological constraints on certain types of data analysis. National Science Foundation funds not only represent U.S. cooperation in the enterprise, they also assure U.S. involvement in all important developmental decisions as well as helping to offset the cost of database maintenance and update. ***

9321507卢森堡收入研究(LIS)是一个国际联盟，成员分布在欧洲、中东、北美和澳大利亚的20个国家。这些国家通过各自的资助组织，合作支持卢森堡的一个研究中心，该中心标准化并提供具有代表性的成员国人口样本的基于家庭的微观收入数据。这些数据被全球260多名研究人员用来分析经济和社会政策结构及其对收入结构、贫困和收入不平等以及工资和收入差距等主题的影响。研究人员可以在现场访问数据，也可以通过计算机化的电信网络访问。由国家科学基金会提供的资金构成了美国对该财团的参与。需要所有成员国的充分合作，以保证数据检索的可行性，保持高标准的数据质量，并逐步放宽对某些类型数据分析的方法限制。国家科学基金会的资金不仅代表了美国在该企业中的合作，还保证了美国参与所有重要的发展决策，并帮助抵消了数据库维护和更新的成本。***