Kodila-Tedika, Oasis and Asongu, Simplice (2015): Genetic Distance and Cognitive Human Capital: A Cross-National Investigation.
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Abstract
This paper explores the determinants of intelligence by focusing on the role played by barriers to the diffusion of competence and human capital. The results based on cross-sectional data from 167 countries consisting of 1996-2009 averages suggest that, genetic distance to global frontiers has a negative relationship with human capital. Countries that are genetically far from leading nations tend to have lower levels of human capital with the negative correlation from the USA frontier higher relative to the UK frontier. The sign is consistent with the relationship of genetic diversity and robust to the control of macroeconomic, geographical, institutional and influential variables. Policy implications are discussed.
Item Type: | MPRA Paper |
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Original Title: | Genetic Distance and Cognitive Human Capital: A Cross-National Investigation |
Language: | English |
Keywords: | Intelligence, Human Capital, Genetic distance |
Subjects: | F - International Economics > F1 - Trade > F15 - Economic Integration G - Financial Economics > G1 - General Financial Markets > G15 - International Financial Markets N - Economic History > N1 - Macroeconomics and Monetary Economics ; Industrial Structure ; Growth ; Fluctuations > N10 - General, International, or Comparative O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development > O16 - Financial Markets ; Saving and Capital Investment ; Corporate Finance and Governance O - Economic Development, Innovation, Technological Change, and Growth > O5 - Economywide Country Studies > O50 - General |
Item ID: | 67850 |
Depositing User: | Simplice Asongu |
Date Deposited: | 12 Nov 2015 12:50 |
Last Modified: | 08 Oct 2019 14:27 |
References: | Ager, P., & Brückner, M., (2013). Immigrants' Genes: Genetic Diversity and Economic Development in the US. MPRA Paper No. 51906. Ang, J. B., & Kumar, S., (2014). Financial development and barriers to the cross-border diffusion of financial innovation, Journal of Banking & Finance, 39, 43-56. Angeles, L (2012), “Is there a role for genetics in economic development?”, University of Glasgow, http://www.gla.ac.uk/media/media_221391_en.pdf (Accessed: 24/04/2015). ARWU (2014). “Academic Ranking of World Universities”, ARWU 2014 Press Release, Center for World-Class Universities at Shanghai Jiao Tong University, http://www.shanghairanking.com/ (Accessed: 24/04/2015). Ashraf, Q., & Galor, O., (2013). The “Out of Africa" Hypothesis, Human Genetic Diversity, and Comparative Economic Development, American Economic Review, 103, 1-46. Ashraf, Q., Galor, O., & Klemp, M., (2014). The out of Africa hypothesis of comparative development reflected by nighttime light intensity, Working Paper, Brown University, Department of Economics 2014-4. Asongu, S. A., (2014a). The impact of health worker migration on development dynamics: evidence of wealth effects from Africa, The European Journal of Health Economics, 15, (2), 187-201. Asongu, S. A., (2014b). Globalization and health worker crisis: what do wealth-effects tell us?, International Journal of Social Economics, 41(12), 1243-1264. Asongu, S. A., & Kodila-Tedika, O., (2015). “Is Poverty in the African DNA(Gene)?”, African Governance and Development Institute Working Paper No. 15/011. Barber, N., (2005). Educational and ecological correlates of IQ: a cross-investigation. Intelligence 33, 273-284. Belsley, David A., EdwinKuh, and Roy E.Welsch, (1980), Regression Diagnostics:Identifying Influential Data and Sources of Collinearity (Hoboken,NJ: Wiley,). Campbell, D. L., & Pyun, J. H., (2015). The Diffusion of Development: Along Genetic or Geographic Lines?, Journal of International Development,doi: 10.1002/jid.3059. Cardella, E., Kalcheva, I., & Shang, D., (2015). Financial Development and Genetic Diversity, Texas Tech University, http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2409500(Accessed: 13/04/2015). Cavalli-Sforza, L. L., Menozzi, P., & Piazza, A., (1996).The History and Geography OfHuman Genes. Princeton University Press, Princeton. CIA (2010). Central Intelligence Agency, The World Factbook 2010. Cook, C. J., (2013). The Natural Selection of Infectious Disease Resistance and Its Effect on Contemporary Health, Division of Health Policy and Management, Yale School of Public Health https://www.aae.wisc.edu/events/papers/DevEcon/2013/cook.09.19.pdf (Accessed: 13/04/2015). Davies, G., Tenesa, A., Payton, A., Yang, J., Harris, S. E., Liewald, D., . . . Deary, I. J. (2011). Genome-wide association studies establish that human intelligence is highly heritable and polygenetic. Molecular Psychiatry, 16, 1–10. Denny, K., (2009). On a dubious theory of cross-country differences in intelligence”, Journal of Evolutionary Psychology, 7(4), 341-346. Easterly, W and Sewadeh, M. 2001. Global Development Network Growth Database (GDN) Eppig, C., Fincher, C. L., & Thornhill, R. (2010). Parasite prevalence and the worldwide distribution of cognitive ability. Proceedings of the Royal Society B, 277, 3801-3808. Guedes, J.A., Bestor, T.C., Carrasco, D., Flad, R., Fosse, E., Herzfeld, M., Lamberg-Karlovsky, C., Lewis, C., Liebmann, M., Meadow, R., Patterson, R., Price, M., Reiches, M., Richardson, S., Shattuck-Heidorn, H., Ur, J., Urton, G. and Warinner, C. (2013). Is Poverty in Our Genes? A Critique of Ashraf and Galor, “The ‘Out of Africa’ Hypothesis, Human Genetic Diversity, and Comparative Economic Development,” American Economic Review.Current Anthropology,54, (1), 71-79. Hanushek, E. A., & Kimko, D. D., (2000). Schooling, Labor-Force Quality, and theGrowth of Nations. American Economic Review, 90, 1184-1208. Huber, P. J., (1973). Robust Regression: Asymptotics, Conjectures and Monte Carlo, The Annals of Statistics, 1, 799-821. Hunt, E., (2012). What makes nations intelligent? Perspectives on Psychological Science, 7(3), 284-306. Jacob, T., (2010). A Compensation for Cold Weather: Higher IQs, Pacific Standard, http://www.psmag.com/books-and-culture/a-compensation-for-cold-weather-higher-iqs-25414(Accessed: 06/04/2015). Johnson, W., Penke, S., & Spinath, F. M. (2011). Heritability in the era of molecular genetics: Some thoughts for understanding genetic influences on behavioral traits. European Journal of Personality, 25, 254–266. Jones, G., & Schneider, W. J. (2006). Intelligence, human capital, and economic growth: A Bayesian Averaging of Classical Estimates (BACE) approach. Journal of Economic Growth, 11, 71-93. Kalonda-Kanyama I., & Kodila-Tedika, O., (2012). Quality of Institutions: Does Intelligence Matter?, Working Papers No. 308. Economic Research Southern Africa. Kanazawa, S., (2008). Temperature and evolutionary novelty as forces behind the evolution of general intelligence. Intelligence, 36, 99-108. Kaufmann, D., Kraay, A., & Mastruzzi, M., (2010). “The Worldwide Governance Indicators: Methodology and Analytical Issues”, World Bank Policy Research Working Paper No. 5430. Kodila-Tedika, O., & Asongu, S. A., (2015).The Effect of Intelligence on Financial Development: A Cross-Country Comparison. Intelligence: Forthcoming. Kodila-Tedika, O., & Bolito-Losembe, R., (2014). Poverty and Intelligence: Evidence Using Quantile Regression, Economiic Researrch Guarrdiian, (1), 25-32. Kodila-Tedika, O., & Mutascu, M., (2014).Tax Revenues and Intelligence: Cross-Sectional Evidence. MPRA Paper No. 57581, University Library of Munich, Germany. Kodila-Tedika, O., (2014). Governance and Intelligence: Empirical Analysis from African Data, Journal of African Development, 16(1), 83-97. La Porta, R., Lopez-de-Silanes, F., Shleifer, A., Vishny, R.W., 1999. The quality of government. J. Ecs., Law & Org. 15(1): 222-279 Lai, C.-Q. (2006). How much of human height is genetic and how much is due to nutrition? Scientific American. Retrieved from www.scientificamerican.com/article.cfm?id=how-much-ofhuman-height Lutz, W., (2009). Sola schola et sanitate: human capital as the root cause and priority for international development? Philosophical Transactions of the Royal Society B364, 3031-3047. Lynn, R., & Vanhanen, T. (2002). IQ and the wealth of nations. Westport, CT: Praeger. Lynn, R., & Vanhanen, T. (2006). IQ and global inequality. Augusta, GA: Washington Summit Publishers Lynn, R., and Vanhanen, T., (2012). National IQs: A review of their educational, cognitive, economic, political, demographic, sociological, epidemiological, geographic and climate correlatesIntelligence , 40(2), 226-234. Meisenberg, G., & Lynn, R. (2011). Intelligence: A measure of human capital in nations. Journal of Social, Political and Economic Studies, 36(4), 421-454. Midi, H., & Talib, B. A. 2008. The Performance of Robust Estimator on Linear Regression Model Having both Continuous and Categorical Variables with Heteroscedastic Errors, Malaysian Journal of Mathematical Sciences, 2(1), 25-48. New, Mark, David Lister, Mike Hulme, and Ian Makin (2002) .A High-Resolution Data Set of Surface Climate Over Global Land Areas, Climate Research, 21 (1), 1.25 Nisbett, R. E. (2009). Intelligence and how to get it. New York, NY: Norton. Nordhaus, William D. (2006) .Geography and Macroeconomics: New Data and New Findings,. Pro-ceedings of the National Academy of Sciences, 103 (10), 3510.3517. Nunn, N., & Puga, G., (2012). “Ruggedness: The blessing of bad geography in Africa”. Review of Economics and Statistics, 94(4), pp. 20-36. Pak., S. (2010). The growth status of North Korean refugee children and adolescents from 6 to 19 years of age. Economics & Human Biology, 8, 385–395. Papyrakis, E., & Mo, P. H., (2014). “Fractionalization, Polarization and Economic Growth: Indentifying the transmission channels”, Economic Inquiry, 52(3), pp. 1204-1218. Rindermann, H., Kodila-Tedika, O., & Christainsen, G., (2014).Cognitive capital,Good governance, and the wealth of nations. MPRA Paper, No. 57563, University Library of Munich, Germany. Rousseeuw, P. J., &Yohai. V. J.,(1984). Robust regression by means of S-estimators.InRobust and Nonlinear Time Series Analysis, ed. J. Franke, W. H¨ardle, and R. D.Martin, 256–276. New York: Springer. Rushton, J. P., & Jensen, A. R. (2005). Thirty years of research on race differences in cognitive ability. Psychology, Public Policy, and Law, 11, 235–294. Salibian-Barrera, M., & Yohai, V. J. (2006). A Fast Algorithm for S-Regression Estimates. Journal of Computational and Graphical Statistics 15, 414-427. Schwekendiek, D. (2009). Height and weight differences between North and South Korea. Journal of Biosocial Science, 41, 51–55. Seif, R., (2014). “Statistical Analysis of Matching Processes of Composite Materials”, University of Montreal, http://publications.polymtl.ca/1606/1/2014_RandaSeif.pdf (Accessed: 24/04/2015). Sequeira, T, Santos, M., & Ferreira-Lopes, A., (2013), “Human Capital and Genetic Diversity”, MPRA Paper No. 49135. Spolaore, E., & Wacziarg, R., (2009).The diffusion of development. Quarterly Journal of Economics, 124, 469-529. Templer, D. I., (2008). Correlational and factor analytic support for Rushton's differential K life history theory.Personality & Individual Differences, 45,440-444. Weil, D. N., (2010). The Impact of Malaria on African Development over the Longue Durée, Brown University and NBER,http://www.indiana.edu/~econdept/workshops/Fall_2010_Papers/Malaria_and_Early_African_Development.pdf(Accessed: 06/04/2015). Wicherts, J. M., & Wilhelm, O., (2007). What is the national g-factor? European Journal of Personality 21 (5), 763–765. Wicherts, J. M., Borsboom, D., & Dolan, C.V., (2010). Why national IQs do not support evolutionary theories of intelligence. Personality and Individual Differences 48(2), 91-96. Williams, B. J., (2013). Does Human Genetic Diversity Affect Net Productivity?. (Master's thesis).http://scholarcommons.sc.edu/etd/2419(Accessed: 14/04/2015). Yohai, V. J., (1987). High Breakdown-Point and High Efficiency Robust Estimates for Regression. The Annals of Statistics, 15, 642-656. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/67850 |