Global Trends in Income Inequality and Income Dynamics: New Insights from GRID
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 datasets; 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.
GRID is a joint initiative between the Minnesota Economics Big Data Institute at the University of Minnesota, Princeton University, and Stanford University. GRID can be accessed at https://www.grid-database.org/. We owe special thanks to Serdar Ozkan (University of Toronto) and Sergio Salgado (Wharton School of the University of Pennsylvania), who wrote and regularly updated the master code used by all country teams to produce statistics. We are grateful to all country team members who supported the project from the very beginning and gave us vital feedback on many aspects of the empirical analysis. We also thank Francisco Bullano for outstanding research assistance on this paper. Finally, we thank the institutions that provided funding for the GRID Project: the Data-Driven Social Science Initiative and Simpson Center at Princeton University, Stanford University, Heller-Hurwicz Economics Institute and the Minnesota Economics Big Data Institute (MEBDI) at University of Minnesota, Litigation Analytics, and the Washington Center for Equitable Growth. All the statistics available in GRID and used in this paper have been cleared for distribution by the relevant authorities in respective countries. The US statistics were released by the US Census Bureau on June 15, 2022 with clearance number CBDRB-FY22-283. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research.
Giovanni L. Violante
I have received more than $10,000 of compensation for consulting services by the European Central Bank, the Central Bank of Chile, and a hedge fund that makes asset management decisions also based on macroeconomic conditions.
Fatih Guvenen & Luigi Pistaferri & Giovanni L. Violante, 2022. "Global trends in income inequality and income dynamics: New insights from GRID," Quantitative Economics, Econometric Society, vol. 13(4), pages 1321-1360, November. citation courtesy of