The Development of Cross-national Income and Wealth Databases: The Luxembourg Income and Wealth Studies 2014-2018

跨国收入和财富数据库的发展：2014-2018年卢森堡收入和财富研究

• 批准号: 1355671
• 负责人: Janet Gornick
• 金额: $ 150.53万
• 依托单位: CUNY Graduate School University Center
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-15 至 2020-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1355671&HistoricalAwards=false
• 关键词: Development; Cross; national; Income; Wealth

SES-1355671Janet Gornick CUNY Graduate School Founded in 1983--LIS formerly known as the Luxembourg Income Study (LIS) -- is a unique, cross-national data archive and research center which fosters primary research by providing access to household microdata. LIS operates as a consortium of countries, governed by an international board, and serving an international community of researchers. LIS has four, longstanding goals: 1) harmonize micro-datasets, from multiple countries, which include data on income, wealth, employment and demography; 2) provide a secure method that allows access to data with privacy restrictions; 3) create a remote-execution system to enable research conducted from off-site locations; and 4) promote the use of microdata in comparative research on social and economic wellbeing on a global level, conduct research onsite, and sponsor and host scholars using the LIS data.LIS is a unique, cross-national data infrastructure, which is indispensable for understanding the social and economic wellbeing of people in today?s globalized world. Created expressly to foster primary research by providing access to household microdata, LIS enables the highest quality social science research, both theoretical and empirical, and informs analyses of a broad array of social and economic policies and institutions. LIS operates as a consortium of countries, governed by an international board, and serves an international community of researchers. LIS prepares and maintains two databases, the Luxembourg Income Study (LIS) Database and the Luxembourg Wealth Study (LWS). The LIS Database includes income, employment, and demographic variables at the person- and household-level; there currently over 250 micro-datasets from 46 countries, spanning 1968 to 2011; the LWS Database contains 20 wealth datasets from 12 countries and covers 1994 to 2007. LIS and LWS datasets, together, cover 86% of the world GDP and 64% of world population. New datasets and new countries are being added regularly.Broader Impacts LIS houses the only data infrastructure that includes income, wealth, and labor market microdata, spanning decades and from diverse geographic regions. The LIS datasets foster research on economic and social policies and their effects on outcomes including poverty, income inequality, employment status, wage patterns, gender inequality, and family structure. The LWS datasets enable research on wealth portfolios, asset levels, and the interplay between household income and wealth. The activities, goals, and accomplishments of LIS match NSF priorities (NSF Strategic Plan 2011-2016), most especially transforming frontiers of knowledge, building research infrastructure, encouraging international engagement in science, and promoting multidisciplinary research. Moreover, LIS fits well with NSF's longstanding emphasis on making knowledge accessible to policy-makers and the public at large. LIS serves thousands of researchers worldwide, from various disciplines, including economics, sociology, political science, policy studies, and public health. Users come from academia, government agencies, non-governmental agencies, supranational organizations and news agencies; one-third of registered users are American. LIS provides online instructional materials, user support, and annual training workshops. LIS is a physical and virtual venue for researchers to exchange ideas, results, and methods; these exchanges take place through the Working Paper Series, the Visiting Scholar Program, LIS conferences and workshops, and pre- and post-doctoral scholarships will develop valuable new skills in a stimulating interdisciplinary environment.

成立于1983年-LIS前身为卢森堡收入研究(LIS) -是一个独特的，跨国数据档案和研究中心，通过提供家庭微观数据的访问来促进初级研究。LIS作为一个国家联盟运作，由一个国际委员会管理，并为国际研究人员社区服务。LIS有四个长期目标：1)协调来自多个国家的微观数据集，包括收入、财富、就业和人口数据；2)提供一种安全的方法，允许访问具有隐私限制的数据；3)创建远程执行系统，使研究能够从非现场位置进行；4)促进微数据在全球范围内社会和经济福祉比较研究中的应用，开展现场研究，并资助和接待使用LIS数据的学者。LIS是一种独特的跨国数据基础设施，对于理解当今人们的社会和经济福祉是不可或缺的。美国的全球化世界。LIS旨在通过提供家庭微观数据来促进初级研究，使最高质量的社会科学研究成为可能，包括理论和实证研究，并为广泛的社会和经济政策和制度分析提供信息。LIS作为一个由国际委员会管理的国家联盟运作，并为国际研究人员社区提供服务。卢森堡国家统计局编制和维护两个数据库，即卢森堡收入研究数据库和卢森堡财富研究数据库。LIS数据库包括个人和家庭层面的收入、就业和人口统计变量；目前有来自46个国家的250多个微数据集，时间跨度从1968年到2011年；LWS数据库包含来自12个国家的20个财富数据集，涵盖1994年至2007年。LIS和LWS的数据集加起来覆盖了世界GDP的86%和世界人口的64%。定期添加新的数据集和新的国家。更广泛的影响LIS拥有唯一的数据基础设施，包括收入、财富和劳动力市场微观数据，跨越数十年，来自不同的地理区域。LIS数据集促进了对经济和社会政策及其对结果的影响的研究，包括贫困、收入不平等、就业状况、工资模式、性别不平等和家庭结构。LWS数据集可以研究财富组合、资产水平以及家庭收入与财富之间的相互作用。LIS的活动、目标和成就符合美国国家科学基金会（NSF）的优先事项（2011-2016年战略计划），尤其是转化知识前沿、建设研究基础设施、鼓励国际科学参与和促进多学科研究。此外，美国国家科学基金会长期以来一直强调让决策者和广大公众都能获得知识，美国国家科学基金会也很符合这一点。LIS为来自世界各地的数千名研究人员提供服务，他们来自不同的学科，包括经济学、社会学、政治学、政策研究和公共卫生。用户来自学术界、政府机构、非政府机构、超国家组织和新闻机构；三分之一的注册用户是美国人。LIS提供在线教学材料、用户支持和年度培训研讨会。LIS是研究人员交流思想、结果和方法的物理和虚拟场所；这些交流将通过工作论文系列、访问学者计划、LIS会议和研讨会以及博士前和博士后奖学金进行，将在一个刺激的跨学科环境中发展宝贵的新技能。