Corruption in America

Working Paper: NBER ID: w10821

Authors: Edward L. Glaeser; Raven E. Saks

Abstract: We use a data set of federal corruption convictions in the U.S. to investigate the causes and consequences of corruption. More educated states, and to a less degree richer states, have less corruption. This relationship holds even when we use historical factors like education in 1928 or Congregationalism in 1890, as instruments for the level of schooling today. The level of corruption is weakly correlated with the level of income inequality and racial fractionalization, and uncorrelated with the size of government. There is a weak negative relationship between corruption and employment and income growth. These results echo the cross-country findings, and support the view that the correlation between development and good political outcomes occurs because more education improves political institutions.

Keywords: No keywords provided

JEL Codes: H7; W9


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Higher Ethnic Heterogeneity (J15)Higher Corruption Rates (H57)
Higher Corruption Levels (H57)Slower Economic Growth (F69)
Government Size (H11)Corruption Rates (H57)
Higher Education Levels (I23)Lower Corruption Rates (H57)
Higher Income Levels (J31)Lower Corruption Rates (H57)

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