Economics at your fingertips  

The Bell Curve of Intelligence, Economic Growth and Technological Achievement: How Robust is the Cross-Country Evidence?

Nik Ahmad Sufian Burhan (), Razli Che Razak, Muhamad Ridhwan Rosli and Muhamad Rosli Selamat

MPRA Paper from University Library of Munich, Germany

Abstract: Intelligence quotient (IQ) scores are normally distributed within a nation’s population. In a cross-country regression, Burhan et al. (2014, Intelligence, 46, 1–8) had statistically proven that intellectual class represented by the 95th percentile IQ had contributed most to economic growth. Those with average ability (50th percentile IQ) contributed second most, followed by the non-intellectual class (5th percentile IQ). Also, the researchers found that only the intellectual class was significant for technological progress. This paper reanalyzed their dataset using robust regressions. After eliminating some outliers, the IQs of the intellectual class and average ability group were found to have equal impacts on economic growth, and the impacts were larger than that of non-intellectual’s. Furthermore, the IQ of the average ability group was significant on technological achievement although not as strong as the intellectual class. Nevertheless, the number of professional researchers employed in research and development (R&D) sector did not give the same paramount effects as the impact of the average ability IQ in generating technological progress. Based on the conclusions drawn, it will be better for R&D sectors to employ professionals who possess not only high academic qualifications, but also exceptional levels of cognitive skills to develop new innovations.

Keywords: economic growth; technological achievement; intelligence; social class; robust regression (search for similar items in EconPapers)
JEL-codes: I25 J24 O3 O47 Z13 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ino and nep-knm
Date: 2017-01
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link) original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

Page updated 2019-07-04
Handle: RePEc:pra:mprapa:77469