Document Type


Publication Date

Fall 10-6-2023


This study delves into the response of corruption perception indices to the COVID-19 pandemic. We investigate whether a global shift in corruption indices occurred post-pandemic compared to pre-pandemic levels. Additionally, we assess changes in standard errors of these indices before and after the pandemic to gauge shifts in consensus among people regarding corruption levels of a country. Given the WGI-CC's lack of year-to-year comparability across countries, we recalculated WGI-CC standard errors using methods akin to TI-CPI score calculations. Subsequently, we employ regression analysis, incorporating independent variables such as population, GDP, education, and political regime to explore whether changes in standard errors of corruption indices are statistically significantly influenced by COVID-19 data, including confirmed cases and deaths.


Funding provided by the Asher fund

Included in

Economics Commons



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