Document Type
Working Paper
Publication Date
1-1-2022
Abstract
The distribution of household income is a central concern in economics due to its strong influence on society’s well-being and social cohesion. Yet, non-expert audiences face serious obstacles in understanding conventional measures of inequality. To effectively communicate the extent of income inequality in the United States, we have developed a novel technique for visualizing income distribution and its dispersion over time by using U.S. household income microdata from the Current Population Survey. The result is a striking dynamic animation of income distribution over time, drawing public attention and encouraging further investigation of income inequality. Detailed implementation is available at https://github.com/sangttruong/incomevis. An interactive demonstration of our project is available at https://research.depauw.edu/econ/incomevis/.
Recommended Citation
Sang T. Truong & Humberto Barreto, 2022. "Teaching Income Inequality with Data-driven Visualization," Working Papers 2022-01, DePauw University.