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LIS（跨国数据存档和研究中心）提供持续支持。LIS是一个不可或缺的多国数据基础设施，用于了解当今全球化世界中人们的社会和经济福祉。卢森堡社会科学研究所拥有两个社会科学数据库-卢森堡收入研究数据库和卢森堡财富研究数据库，目的是促进和推动对高收入和中等收入国家社会经济成果的跨国研究。目前的项目不断向地雷影响调查和地雷预警系统数据库添加新的数据集。该项目还包括一项关于将高端调整纳入收入和财富系列的试点研究，以及对一个新数据库的可行性评估，该数据库暂定名为“卢森堡消费研究数据库”，其中载有许多国家的消费数据集。全球数千名研究人员-迄今为止有10，000名-使用LIS和LWS数据库分析结果，包括贫困，收入不平等，就业差距，性别不平等，家庭结构，财富组合，资产水平以及家庭收入和财富之间的相互作用。该项目协调了来自许多国家的数据集，其中包括关于收入、财富、就业和人口统计的微观数据;提供了一种访问数据的手段，否则由于隐私限制，个人研究人员无法获得这些数据;创建一个远程执行系统，将研究查询结果快速发送回用户;并促进在社会经济福祉比较研究中使用微观数据。通过提供地理和经济多样化国家数据的基础设施，土地影响调查拓宽了利用住户微观数据进行跨学科研究的知识基础。卢森堡信息系统维护着卢森堡收入研究（LIS）数据库和卢森堡财富研究（LWS）数据库，这两个数据库涵盖了全球80%以上的国内生产总值和三分之二的人口。土地信息系统获取、协调和记录来自地球仪的基于调查的数据集;这些数据集包括个人和家庭层面的收入、就业和人口变量。LIS数据库包含来自55个国家的微观数据，涵盖1968年至2019年的近700个数据集;较新的LWS数据库包含来自19个国家的75个财富数据集，涵盖1995年至2019年。LIS维护有关家庭不平等和贫困的标准化国家指标，并提供有关调查、协调和特定国家机构的元数据。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为全球数千名来自不同学科的研究人员提供服务，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和活跃用户位于美国。目前的项目继续扩大LIS的影响超越学术界通过扩大合作，通过各种媒体进行沟通，并继续提高其数据可视化能力。该奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。