U.S. Participation in the Development of LIS, a Transnational Database: Luxembourg Income Study Database and Luxembourg Wealth Study Database, 2024-2028

美国参与跨国数据库 LIS 的开发：卢森堡收入研究数据库和卢森堡财富研究数据库，2024-2028 年

• 批准号: 2307748
• 负责人: Janet Gornick
• 金额: $ 200万
• 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: 2024
• 资助国家: 美国
• 起止时间: 2024-01-01 至 2028-12-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2307748&HistoricalAwards=false
• 关键词: U.S.; Participation; Development; LIS; Transnational

This project provides continuing support for U.S. participation in LIS, the cross-national data archive and research center. LIS is an indispensable, multi-country data infrastructure for understanding the social and economic wellbeing of people in today’s globalized world. LIS maintains two social science databases—the Luxembourg Income Study (LIS) Database and the Luxembourg Wealth Study (LWS) Database—for the purposes of enabling and fostering cross-national research on socio-economic outcomes in high- and middle-income countries. The current project adds new datasets to both the LIS and LWS Databases on a continual basis. The project also includes a pilot study on including top-end adjustments to the income and wealth series, as well as an assessment of the feasibility of a new database, tentatively titled the “Luxembourg Consumption Study (LCS) Database,” populated with consumption datasets from many countries. Thousands of researchers worldwide—10,000 to date—use the LIS and LWS Databases to analyze outcomes including poverty, income inequality, employment disparities, gender inequality, family structure, wealth portfolios, asset levels, and the interplay between household income and wealth. This ever-growing body of research informs decision-making about income and wealth distributions in the United States and around the world.The project harmonizes datasets from many countries, which include microdata on income, wealth, employment, and demography; provides a means to access data that would otherwise be unavailable to individual researchers due to privacy restrictions; creates a remote-execution system that quickly sends research query results back to users off-site; and promotes the use of microdata in comparative research on socio-economic wellbeing. By providing an infrastructure with data from geographically and economically diverse countries, LIS broadens the intellectual basis for interdisciplinary research using household microdata. LIS maintains the Luxembourg Income Study (LIS) Database and the Luxembourg Wealth Study (LWS) Database, which together cover more than 80% of the world’s GDP and 2/3 of its population. LIS acquires, harmonizes, and documents survey-based datasets from around the globe; these include income, employment, and demographic variables at the person- and household-level. The LIS Database includes microdata from 55 countries, with nearly 700 datasets spanning 1968 to 2019; the newer LWS Database contains 75 wealth datasets from 19 countries and covers 1995 to 2019. LIS maintains standardized national indicators on household inequality and poverty, and metadata are available on the surveys, harmonization, and country-specific institutions. LIS provides online learning materials, user support, and training workshops, as well as a Working Paper Series, a Visiting Scholar Program, LIS-based conferences, and public programs. 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 organizations, supranational organizations, and news agencies; over one-fifth of registered and active users are based in the United States. The current project continues to broaden LIS’ impact beyond academia by expanding collaborations, communicating through various media, and continuing to enhance its data visualization capacity.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目为美国参与跨国数据档案和研究中心LIS的参与提供了持续的支持。 LIS是必不可少的多国家数据基础设施，用于了解当今全球化世界中人们的社会和经济福祉。 LIS维护了两个社会科学数据库 - 卢森堡收入研究（LIS）数据库和卢森堡财富研究（LWS）数据库，目的是实现和促进有关高层和中等成分国家的社会经济成果的跨国研究。当前项目将连续地添加到LIS和LWS数据库中。该项目还包括一项针对收入和财富系列的高端调整的试点研究，以及对新数据库的可行性的评估，该研究标题为“卢森堡消费量研究（LCS）数据库”，并带有来自许多国家的消费数据集。全球成千上万的研究人员（迄今为止有10,000名）使用LIS和LWS数据库来分析贫困，收入不平等，就业分配，性别不平等，家庭结构，财富投资组合，资产水平以及家庭收入和财富之间的相互作用。这种不断增长的研究机构为美国及世界各地的收入和财富分配的决策提供了依据。该项目统一了来自许多国家的数据集，其中包括有关收入，财富，就业和人口的微型数据；提供了一种通过隐私限制而访问单个研究人员无法获得的数据的方法；创建一个远程执行系统，该系统迅速将研究查询结果发送给用户异地；并促进在社会经济福祉比较研究中使用微数据。通过提供来自地理和经济上不同国家的数据的基础设施，LIS使用家庭微型数据扩大了跨学科研究的智力基础。 LIS维护卢森堡收入研究（LIS）数据库和卢森堡财富研究（LWS）数据库，该数据库共同覆盖了世界上80％以上的GDP和2/3的人口。 Lis从全球获取，协调和文件基于调查的数据集；这些包括人和家庭层面的进口，就业和人口变量。 LIS数据库包括来自55个国家 /地区的微型数据，其中跨越了1968年至2019年的近700个数据集；较新的LWS数据库包含来自19个国家 /地区的75个财富数据集，并涵盖1995年至2019年。LIS在家庭不平等和贫困方面保持了标准化的国家指标，并且在调查，协调和特定国家机构的调查，协调和国家 /地区都可以使用元数据。 LIS提供在线学习材料，用户支持和培训研讨会，以及工作文件系列，访问学者计划，基于LIS的会议和公共计划。 LIS在全球成千上万的研究人员为各个学科提供服务，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，非政府组织，超国家组织和新闻机构；超过五分之一的注册用户和活跃用户位于美国。当前的项目通过扩展合作，通过各种媒体进行交流并继续增强其数据可视化能力，从而扩大了LIS的影响，并继续增强其数据可视化能力。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子优点和更广泛的影响审查标准来通过评估来获得的支持。