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STATISTICS AND INTELLIGENCE IN DEVELOPING COUNTRIES: A NOTE.

Oasis Kodila-Tedika¹, Simplice A Asongu², Florentin Azia-Dimbu³

¹*Department of Economics,University of Kinshasa,DRC.

Journal of Biosocial Science

|May 27, 2016

Summary

Developing countries with higher average intelligence (or human capital) demonstrate stronger statistical capacity. This positive relationship between intelligence quotient (IQ) and statistical ability is robust and has policy implications.

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Area of Science:

Economics
Development Studies
Human Capital Theory

Background:

Limited research exists on the factors contributing to poor statistical capacity in developing nations.
The growing body of literature on the knowledge economy highlights the importance of intellectual capital.

Purpose of the Study:

To investigate the association between national intelligence levels and statistical capacity in developing countries.
To explore the role of human capital in enhancing the statistical infrastructure of developing economies.

Main Methods:

Econometric analysis correlating intelligence quotient (IQ) scores with statistical capacity indicators.
Robustness checks using alternative model specifications and outlier controls.

Main Results:

A statistically significant positive relationship was found between a country's average intelligence quotient (IQ) and its statistical capacity.
The observed association remained consistent across various analytical models and data treatments.

Conclusions:

Higher levels of national intelligence are linked to improved statistical capacity in developing countries.
The findings suggest that investing in human capital may be a viable strategy for enhancing statistical infrastructure and data collection capabilities.