Pandemics and Income Inequality: What Do the Data Tell for the Globalization Era?

Tiejun Chen, Giray Gozgor*, Chun Kwong Koo*

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    33 Citations (Scopus)

    Abstract

    This paper empirically investigates the effects of pandemics uncertainty on income inequality We consider a new measure of pandemics uncertainty, the World Pandemic Discussion Index (WPDI), and the post-tax (net) Gini coefficient We focus on the panel data of 141 countries from 1996 to 2020. The results from the Feasible General Least Squares estimations indicate that the WPDI is negatively related to income inequality in 107 non-OECD countries. However, the WPDI is positively associated with income inequality in 34 OECD economies. This evidence remains robust when considering different models, including several controls, and implementing various sensitivity analyses.

    Original languageEnglish
    Article number674729
    JournalFrontiers in Public Health
    Volume9
    DOIs
    Publication statusPublished - 28 May 2021

    Keywords

    • COVID-19 crisis
    • Feasible General Least Squares estimations
    • Income inequality
    • WPDI
    • World Pandemic Discussion Index
    • pandemics uncertainty

    Fingerprint

    Dive into the research topics of 'Pandemics and Income Inequality: What Do the Data Tell for the Globalization Era?'. Together they form a unique fingerprint.

    Cite this