The Global Income Dynamics Project


The Global Income Dynamics (GID) Project is an ongoing initiative to build an open-access, cross-country harmonized database of rich micro statistics on earnings inequality and earnings dynamics from administrative panel data spanning several decades. 

Currently 13 countries are in the project: Argentina, Brazil, Canada, Denmark, France, Germany, Italy, Mexico, Norway, Spain, US, UK, and Sweden. The project team includes 51 economists in 13 country teams and is led by Fatih Guvenen (MEBDI/UMN), Luigi Pistaferri (Stanford) and Gianluca Violante (Princeton). The plan is to gradually expand coverage to 25+ countries at a speed dictated by availability of funding and resources.   

Two distinguishing features of the GID Database are its reliance on administrative records from each country and the panel structure of the source datasets. The large sample sizes of administrative datasets enable precise measurement of granular statistics for finely defined subpopulations (defined by the interaction of e.g., cohort/age, gender, education, permanent income, employer, or geographical location, among others) as well as measuring the tails and higher-order moments of distributions. The longitudinal/panel dimension enables going beyond measures of earnings inequality (statistic snapshots of the earnings distribution) to earnings dynamics (how the earnings of an individual evolve over time) and compute measures like earnings volatility, asymmetry in earnings changes, and short- and long-run mobility, among others. 

A user-friendly web site to access and download statistics from the GID Database is scheduled for launch in 2022. special Issue of Quantitative Economics that contains papers written by the 13 country teams is also scheduled to be published in 2022. 



You can find the latest version (as of June 1, 2021) of the working papers written about each of the 13 countries in the GID Project here:

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