U.S. Participation in the Development of LIS, a Transnational Database: Luxembourg Income Study Database & Luxembourg Wealth Study Database, 2019 to 2023

美国参与跨国数据库 LIS 的开发：卢森堡收入研究数据库

• 批准号: 1756547
• 负责人: Janet Gornick
• 金额: $ 187.5万
• 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: 2019
• 资助国家: 美国
• 起止时间: 2019-01-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1756547&HistoricalAwards=false
• 关键词: U.S.; Participation; Development; LIS; Transnational

This project provides continuing support for LIS, Cross-National Data Center (formerly Luxembourg Income Study). The LIS is a unique, cross-national, data infrastructure that is essential for understanding the social and economic wellbeing of persons and families in the globalized world. Created to foster primary research by providing access to household microdata, LIS enables both theoretical and empirical social research that informs analyses of a broad array of social and economic policies and institutions. LIS maintains two social science data archives for the purposes of enabling and fostering cross-national research on socio-economic outcomes in high- and middle-income countries. The current project will add new data sets from currently included countries as well as datasets from additional countries. Thousands of researchers worldwide use the Luxembourg Income Study (LIS) and Luxembourg Wealth Study (LWS) databases to analyze outcomes including poverty, income inequality, employment status, wage patterns, gender inequality, family formation, immigration, wealth and debt accumulation. A large share of LIS-based studies focus on the ways in which, and the extent to which, economic and social policies shape these outcomes. These studies provide policy input regarding income and wealth distributions in the United States and across the globe. This project harmonizes (renders comparable) micro-datasets from multiple countries that include data on income, wealth, employment and demography. It provides a secure method that: (1) allows investigators access to data with privacy restrictions; 2) maintains a remote-execution system to enable research conducted from off-site locations; and 3) promotes the use of microdata in comparative research on social and economic wellbeing on a global level. The project conducts research onsite, and sponsors and hosts scholars using the LIS data. By providing an infrastructure with datasets from geographically and economically diverse countries, the project will continue to broaden the basis for interdisciplinary researchers pursuing intellectual inquiry using household microdata. The LIS datasets include income, employment, and demographic variables at the person- and household-level. The LIS Database currently includes microdata from 50 countries and contains over 300 datasets spanning the years 1968 to 2016; the newer LWS Database contains 20 wealth datasets from 15 countries and covers the period 1994 to 2015. LIS and LWS datasets together cover approximately 86% of the world GDP and 64% of world population. The project prepares and maintains standardized national indicators on household inequality and poverty that are publicly available on the LIS website, www.lisdatacenter.org. Extensive documentation is available on the underlying surveys, the harmonization process, and the country-specific institutions that shape income and wealth levels and distributions through METIS, the new metadata system. The project provides online instructional materials, user support, and annual training workshops as well as periodic conferences. 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-based conferences, workshops, and public programs, as well as pre- and post-doctoral scholarships; excellence is promoted through an annual research award. 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 from the United States. LIS is supported by substantial funding from the Luxembourg government. The current project will continue to broaden its impact beyond academia by expanding collaborations, communicating through various media, and developing data visualization.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LIS-跨国数据中心（原卢森堡收入研究）提供持续支助。地雷影响调查是一个独特的跨国数据基础设施，对于了解全球化世界中个人和家庭的社会和经济福祉至关重要。土地信息系统的创建是为了通过提供家庭微观数据来促进初级研究，它使理论和经验社会研究成为可能，为广泛的社会和经济政策和机构的分析提供信息。土地信息系统维持两个社会科学数据档案，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。目前的项目将增加来自目前所包括国家的新数据集以及来自其他国家的数据集。 全球数千名研究人员使用卢森堡收入研究（LIS）和卢森堡财富研究（LWS）数据库分析结果，包括贫困、收入不平等、就业状况、工资模式、性别不平等、家庭组成、移民、财富和债务积累。很大一部分基于LIS的研究侧重于经济和社会政策塑造这些结果的方式和程度。这些研究为美国和地球仪的收入和财富分配提供了政策投入。 该项目统一了来自多个国家的微观数据集，其中包括收入、财富、就业和人口统计数据。它提供了一种安全的方法：（1）允许调查人员访问受隐私限制的数据;（2）维护一个远程执行系统，以便从非现场位置进行研究;（3）促进在全球范围内对社会和经济福祉进行比较研究时使用微数据。 该项目进行现场研究，并赞助和接待使用LIS数据的学者。该项目通过提供地理和经济上不同国家的数据集基础设施，将继续扩大跨学科研究人员利用家庭微观数据进行知识探索的基础。 LIS数据集包括个人和家庭层面的收入、就业和人口统计变量。LIS数据库目前包括来自50个国家的微观数据，包含1968年至2016年的300多个数据集;较新的LWS数据库包含来自15个国家的20个财富数据集，涵盖1994年至2015年。LIS和LWS数据集总共覆盖了世界GDP的86%和世界人口的64%。该项目编制并维持关于家庭不平等和贫困的标准化国家指标，这些指标可在土地影响调查网站（www.lisdatacenth.org）上公开查阅。该项目提供在线教学材料、用户支持、年度培训讲习班以及定期会议。LIS是研究人员交流思想，成果和方法的物理和虚拟场所;这些交流通过工作文件系列，访问学者计划，基于LIS的会议，研讨会和公共项目以及博士前和博士后奖学金进行;通过年度研究奖促进卓越。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、非政府机构、超国家组织和新闻机构;三分之一的注册用户来自美国。地雷影响调查得到了卢森堡政府的大量资助。目前的项目将通过扩大合作、通过各种媒体进行交流和开发数据可视化来继续扩大其在学术界以外的影响。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。