Global trends in income inequality and income dynamics: New insights from GRID

• 成果类型: Article
• 署名作者: Guvenen, Fatih; Pistaferri, Luigi; Violante, Giovanni L.
• 署名单位: University of Minnesota System; University of Minnesota Twin Cities; Federal Reserve System - USA; Federal Reserve Bank - Minneapolis; National Bureau of Economic Research; Stanford University; Princeton University; Centre for Economic Policy Research - UK
• 刊物名称: QUANTITATIVE ECONOMICS
• ISSN/ISSBN: 1759-7323
• DOI: 10.3982/QE2260
• 发表日期: 2022
• 页码: 1321-1360
• 关键词: Administrative data; cross-country; database; granular; harmonized; INEQUALITY; longitudinal; mobility; volatility; E24; J24; J31

摘要

The Global Repository of Income Dynamics (GRID) is a new open-access, cross-country database that contains a wide range of micro statistics on income inequality, dynamics, and mobility. It has four key characteristics: it is built on micro panel data drawn from administrative records; it fully exploits the longitudinal dimension of the underlying data sets; it offers granular descriptions of income inequality and income dynamics for finely defined subpopulations; and it is designed from the ground up with the goals of harmonization and cross-country comparability. This paper introduces the database and presents a set of global trends in income inequality and income dynamics across the 13 countries that are currently in GRID. Our results are based on the statistics created for GRID by the 13 country teams who also contributed to this special issue with individual articles.