Genetic distance and cognitive human capital: a cross-national investigation

Oasis Kodila-Tedika and Simplice Asongu

Journal of Bioeconomics, 2016, vol. 18, issue 1, No 3, 33-51

Abstract: Abstract This paper explores the correlates of the intelligence quotient and cognitive ability by focusing on genetic distance to frontier nations. The results based on cross-sectional data from 167 countries suggest that genetic distance to global frontiers has a negative relationship with the employed human capital variables. Countries that are genetically far from leading nations tend to have lower levels of human capital with the negative correlation to the USA frontier averagely higher relative to the UK frontier. The sign is consistent and survives the control of macroeconomic, geographic, institutional and other covariates. Policy implications are discussed.

Keywords: Intelligence; Human capital; Genetic distance (search for similar items in EconPapers)
JEL-codes: F15 G15 N7 O16 O50 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://link.springer.com/10.1007/s10818-015-9210-7 Abstract (text/html)
Access to full text is restricted to subscribers.

Related works:
Working Paper: Genetic Distance and Cognitive Human Capital: A Cross-National Investigation (2015)
Working Paper: Genetic Distance and Cognitive Human Capital: A Cross-National Investigation (2015)
Working Paper: Genetic Distance and Cognitive Human Capital: A Cross-National Investigation (2015)
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: https://EconPapers.repec.org/RePEc:kap:jbioec:v:18:y:2016:i:1:d:10.1007_s10818-015-9210-7

Ordering information: This journal article can be ordered from
http://www.springer. ... al/journal/10818/PS2

DOI: 10.1007/s10818-015-9210-7

Access Statistics for this article

Journal of Bioeconomics is currently edited by Ulrich Witt, Michael T. Ghiselin and David Sloan Wilson

More articles in Journal of Bioeconomics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().