Teaching Income Inequality with Data-driven Visualization

Sang Truong and Humberto Barreto ()
Additional contact information
Sang Truong: Department of Computer Science, Stanford University

No 2022-01, Working Papers from DePauw University, School of Business and Leadership and Department of Economics and Management

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 audi-ences 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 distribu-tion 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/.

Keywords: 3D; data visualization; data-driven education; Gini; survey; microdata; bootstrapping (search for similar items in EconPapers)
JEL-codes: A2 C1 D6 E6 I3 Y1 (search for similar items in EconPapers)
Date: 2022-07-08
New Economics Papers: this item is included in nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.depauw.edu/site/learn/dew/wpaper/worki ... arreto-IncomeVis.pdf (application/pdf)

Related works:
Journal Article: Teaching Income Inequality with Data-Driven Visualization (2023)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:dew:wpaper:2022-01

Access Statistics for this paper

More papers in Working Papers from DePauw University, School of Business and Leadership and Department of Economics and Management Contact information at EDIRC.
Bibliographic data for series maintained by Humberto Barreto ().