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. A 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:
- Argentina: “The Evolution of the Earnings Distribution in a Volatile Economy: Evidence from Argentina,” Blanco, Diaz de Astarloa, Drenik, Moser, and Trupkin.
- Brazil: “Earnings Inequality and Dynamics in the Presence of Informality: The Case of Brazil” by Engbom, Gonzaga, Moser, and Olivieri.
- Canada: “Four Decades of Canadian Earnings Inequality and Dynamics Across Workers and Firms“, by Bowlus, Gouin-Bonenfant, Liu,Lochner, and Park.
- Denmark: “Trends in Income Risk in Denmark 1987-2016” by Leth-Petersen and Saeverud
- France: “Inequality and Earnings Dynamics in France: National Policies and Local Consequences“, by Kramarz, Nimier-David, and Delemotte.
- Germany: “Inequality and Income Dynamics in Germany“, by Drechsel-Grau, Peichl, Schmieder, Schmid, Walz, and Wolter.
- Italy: “Labor Reforms and Earnings Dynamics: The Italian Case“, by Hoffman, Malacrino, and Pistaferri.
- Mexico: “Income Dynamics and Inequality: The Case of Mexico“, by Puggioni, Calderón, Cebreros Zurita, Fernandez Bujanda, Gonzalez, and Jaume.
- Norway: “Earnings Dynamics and Its Intergenerational Transmission: Evidence from Norway“, by Halvorsen, Ozkan, and Salgado.
- United States: “U.S. Long-Term Earnings Outcomes by Sex, Race, Ethnicity, and Place of Birth”, by Abowd, McKinney, and Janicki.
- United Kingdom: “Income Dynamics in the United Kingdom 1975-2020”, by Bell, Bloom, and Blundell.
- Spain: “Income Risk Inequality: Evidence from Spanish Administrative Record”, by Arellano, Bonhomme, De Vera, Hospido, and Wei.
- Sweden: “Income Dynamics in Sweden 1985-2016,” by Friedrich, Laun, and Meghir.