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. Author manuscript; available in PMC: 2023 May 1.
Published in final edited form as: Nat Hum Behav. 2022 Aug 29;6(11):1525–1536. doi: 10.1038/s41562-022-01430-7

Fig. 5. A two-parameter Ortega approach reveals significant correlations between inequality and policy outcomes across N = 3 049 US counties that the Gini coefficient misses in our dataset.

Fig. 5

Point estimates of the Pearson correlations (Gini coefficient) and partial Pearson correlations (Ortega parameters) with policy outcomes are visualized with confidence bounds of the 0.9995 confidence interval, using a Bonferroni correction. The figure shows the subsample of covariates (33 of 100) for which the Pearson correlations between county-level variables were not significantly related to the Gini coefficient but exhibited at least one statistically significant partial correlation with the Ortega parameters. Abbreviations: M - male; F - female; Q - income quartile; Frac. - fraction; raceadj. - race adjusted