Prediction of income with the Big Five PTs and cognitive ability

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Presentation transcript:

Fig. 1 Prediction of income with the Big Five PTs and cognitive ability. Prediction of income with the Big Five PTs and cognitive ability. The top panel presents the relationship between income and the different PTs. We estimated the coefficients and their 95th confidence intervals running the following regression separately for each country: yi=α0+β0cogi+∑PT=1PT=5βPTPTi+ϵi, where yi is the income of person i (transformed into the rank of income and scaled from 0 to 100). For cogi, the full literacy test was used when available, and the partial literacy test was used otherwise (see the Supplementary Materials). The last line pools all observations from all countries, controlling for the best measure of cognitive ability available in each country (country-fixed effects are not needed since relative rankings were calculated by country). All regressors are standardized, hence coefficients can be interpreted as the effect of 1 SD in the regressor on the percentile of the rank of income. The bottom panel is based on similar regressions, but replacing the five PTs by one index averaging the five values (for each observation). It only includes the nine countries with full literacy test included in the STEP database. The last line pools all observations from the nine countries. The coefficient of cognitive ability (literacy) is significantly higher than the coefficient of the Big Five index (at the 90% level) in four out of nine countries and in the pooled regression. Rachid Laajaj et al. Sci Adv 2019;5:eaaw5226 Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).