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

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
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-01-01 至 2024-12-31

项目摘要

项目成果

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中文摘要
翻译
该项目为LIS、跨国家数据中心(原卢森堡收入研究)提供持续支持。LIS是一个独特的、跨国家的数据基础设施,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。创建LIS的目的是通过提供对家庭微观数据的访问来促进初级研究,使理论和实证社会研究成为可能,为一系列广泛的社会和经济政策和机构的分析提供信息。LIS拥有两个社会科学数据档案,目的是促进和促进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包括的国家的新数据集以及来自其他国家的数据集。全球数以千计的研究人员使用卢森堡收入研究(LIS)和卢森堡财富研究(LWS)数据库来分析结果,包括贫困、收入不平等、就业状况、工资模式、性别不平等、家庭形成、移民、财富和债务积累。在基于LIS的研究中,有很大一部分侧重于经济和社会政策影响这些结果的方式和程度。这些研究提供了有关美国和全球收入和财富分配的政策意见。该项目统一了多个国家的微观数据集(使之具有可比性),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)允许调查人员在有隐私限制的情况下访问数据;(2)维持一个远程执行系统,以便能够在非现场地点进行研究;(3)在全球一级促进在社会和经济福祉的比较研究中使用微观数据。该项目在现场进行研究,并使用LIS数据赞助和接待学者。通过提供来自地理和经济上不同国家的数据集的基础设施,该项目将继续拓宽跨学科研究人员利用家庭微数据进行智力调查的基础。LIS数据集包括个人和家庭级别的收入、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,包含从1968年到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至2015年。LIS和LWS数据集覆盖了全球约86%的国内生产总值和的世界人口。该项目编制和维护关于家庭不平等和贫穷的标准化国家指标,这些指标可在LIS网站www.lisdatacenter.org上公开查阅。关于基本调查、统一进程以及通过新的元数据系统METIS确定收入和财富水平及分配情况的国别机构,有大量文件可供查阅。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是研究人员交流想法、结果和方法的实体和虚拟场所;这些交流通过工作论文系列、访问学者计划、基于LIS的会议、研讨会和公共计划以及博士后和博士后奖学金进行;通过年度研究奖促进卓越。LIS为世界各地来自不同学科的数千名研究人员提供服务,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。LIS得到了卢森堡政府的大量资金支持。目前的项目将通过扩大合作、通过各种媒体进行交流以及开发数据可视化来继续扩大其影响范围。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
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.
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会议论文
U.S. Participation in the Development of LIS, a Transnational Database: Luxembourg Income Study Database and Luxembourg Wealth Study Database, 2024-2028
The Development of Cross-national Income and Wealth Databases: The Luxembourg Income and Wealth Studies 2014-2018
Enhancing Social Science Data Infrastructure: Upgrade of Metadata Documenting Cross-National Microdata
U.S. Participation in the Development of a Transnational Database: The Luxembourg Income Study, 2010-2014
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