A previous study has shown that the intellectual class, which is represented by the 95th percentile intelligence quotient (IQ) at a normal distribution, displayed the strongest impact upon economic growth. Meanwhile, those with average ability (50th percentile IQ) exhibited the second strongest impact, and followed by the non-intellectual class (5th percentile IQ). In addition, the researchers discovered that only the intellectual class was significant for technological progress. As such, this article re-analysed the dataset employed in prior study via robust regression. As a result, after eliminating several outliers, the levels of IQ for the intellectual class and the average ability group displayed equal impacts on economic growth, and the impacts were larger than that of non-intellectual. Furthermore, the IQ of the average ability group was significant for technological achievement, although not as strong as the intellectual class. Besides, the number of professional researchers employed in the research and development (R&D) sector did not reflect similar paramount effects as the impact of the average ability IQ in generating technological development. Thus, based on the conclusions drawn, this study suggests that the R&D sector should employ professionals who possess not only high academic qualifications, but also exceptional levels of cognitive skills, especially to spark new innovations. JEL: J24, O31, O47, Z13
This paper aims to reassess Burhan et al."s (2014, Intelligence, 47, 12-22) findings on the impact of intelligence (IQ) on the crime rates at a crosscountry level. People who belong to the intellectual group, characterized by IQ at the 95 th percentile of a normal distribution were found to have a tremendous impact in terms of crime rate reduction, compared to those with average ability (50 th percentile IQ). This was proven using the ordinary least squares (OLS). Other than that, people of non-intellectual class (5 th percentile IQ) were found to be least important in reducing crime. However, in their study, many independent variables were stated as not significantly related to the crime rates, which contradicts with other literature. It is questionable if the presence of serious outliers in the samples causes the objectionable finding. In this study, we analyzed the impact of IQ classes on the rate of eight different types of crimes, namely homicide, rape, kidnapping, robbery, assault, burglary, property crimes, and vehicle theft. Analysis was carried out using the Tukey"s Bisquare robust M-estimator that mitigates the effects of outliers in the samples. In conclusion, we have proved that those from the intellectual
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