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Human capital and genetic diversity

  • Tiago Neves Sequeira
  • Marcelo Santos
  • Alexandra Ferreira-Lopes
Original Paper

Abstract

This paper investigates the relationship between human capital and the ancestral genetic diversity of populations. A simple model highlights a new channel through which genetic diversity can affect development: human capital. Additionally, empirical evidence of an unconditional hump-shaped relationship between genetic diversity and human capital is documented. This relationship decreases statistical significance when other deeply rooted determinants of human capital are taken into account. However, we found some significantly positive (linear) effects of genetic diversity. Thus, if there is a relationship between genetic diversity and human capital, this relationship tends to be positive: more genetic diversity is beneficial to human capital.

Keywords

Human capital Genetic diversity Determinants of development Determinants of human capital 

JEL Classification

I25 N10 N30 O10 O50 Z1 

References

  1. Acemoglu, D. (2009). Introduction to modern economic growth. Princeton: Princeton University Press.Google Scholar
  2. Acemoglu, D., Johnson, S., & Robinson, J. A. (2005). Institutions as a fundamental cause of long-run growth. In S. N. Durlauf & P. Aghion (Eds.), Handbook of economic growth (Vol. IA). Amsterdam: Elsevier North-Holland.Google Scholar
  3. Adodo, S., & Agbayewa, J. (2011). Effect of homogenous and heterogeneous ability grouping class teaching on students interest, attitude and achievement in integrated science. International Journal of Psychology and Counselling, 3(3), 48–54.Google Scholar
  4. Ahlerup, P., & Olsson, O. (2012). The roots of ethnic diversity. Journal of Economic Growth, 17(2), 71–102.CrossRefGoogle Scholar
  5. Akinbami, L., Liu, X., Pastor, P., & Reuben, C. (2011) Attention deficit hyperactivity disorder among children aged 517 years in the United States, 1998–2009. NCHS Data Brief, 70, August.Google Scholar
  6. Alesina, A., Devleeschauwer, A., Easterly, W., Kurlat, S., & Wacziarg, R. (2003). Fractionalization. Journal of Economic Growth, 8(2), 155–194.CrossRefGoogle Scholar
  7. Arbatli, C., Ashraf, H. Q., Galor, O., & Klemp, M. (2018). Diversity and conflict. http://web.econ.ku.dk/klemp/doc/Arbatli-Ashraf-Galor-Klemp_Diversity-and-Conflict.pdf. Accessed 19 June 2018.
  8. Ashraf, Q., & Galor, O. (2013a). The out of Africa hypothesis, human genetic diversity, and comparative economic development. American Economic Review, 103(1), 1–46.CrossRefGoogle Scholar
  9. Ashraf, Q., & Galor, O. (2013b). Genetic diversity and the origins of cultural fragmentation. The American Economic Review, 103(3), 528–533.CrossRefGoogle Scholar
  10. Ashraf, Q., & Galor, O. (2017). The macrogenoeconomics of comparative development. NBER Working-Paper 23199.Google Scholar
  11. Ashraf, Q., Galor, O., & Klemp, M. (2014). The out of Africa hypothesis of comparative development reflected by night time light intensity. Working Paper. Brown University. Department of Economics 2014.Google Scholar
  12. Asongu, S., & Kodila-Tedika, O. (2017). Is poverty in the African DNA (gene)? South African Journal of Economics, 85, 533–552.  https://doi.org/10.1111/saje.12165.CrossRefGoogle Scholar
  13. Barro, R. J., & McCleary, R. M. (2003). Religion and economic growth across countries. American Sociological Review, 68(5), 760–781.CrossRefGoogle Scholar
  14. Becker, G., Murphy, K., & Tamura, R. (1990). Human capital, fertility, and economic growth. Journal of Political Economy, 98(5), 12–37.CrossRefGoogle Scholar
  15. Cardella, E., Kalcheva, I., & Shang, D. (2018). Financial markets and genetic variation. Journal of International Financial Markets Institutions and Money, 52, 64–89.CrossRefGoogle Scholar
  16. Carter, P. (2003). “Black” cultural capital, status positioning, and schooling conflicts for low income African American youth. Social Problems, 50(1), 136–155.CrossRefGoogle Scholar
  17. Clark, G. (2005). Human capital, fertility, and the industrial revolution. Journal of the European Economic Association, 3(2/3), 505–515.CrossRefGoogle Scholar
  18. Cohen, D., & Soto, M. (2007). Growth and human capital: Good data, good results. Journal of Economic Growth, 12, 51–76.CrossRefGoogle Scholar
  19. De Neve, J.-E., Mikkaylov, S., Dawes, C., Cristakis, N., & Fowler, J. (2013). Born to lead? A twin design and genetic association study of leadership role occupancy. The Leadership Quarterly, 24, 45–60.CrossRefGoogle Scholar
  20. Easterly, W., & Levine, R. (1997). Africa’s growth tragedy: Policies and ethnic divisions. Quarterly Journal of Economics, 112(4), 1203–1250.CrossRefGoogle Scholar
  21. Ferguson, C., & Beaver, K. (2009). Natural born killers: The genetic origins of extreme violence. Aggression and Violent Behaviour, 14, 285–294.Google Scholar
  22. Galor, O., & Klemp, M. (2014). The biocultural origins of human capital formation. NBER Working Paper No. 20474.Google Scholar
  23. Galor, O., & Klemp, M. (2017). Roots of autocracy. NBER Working-Paper 23301.Google Scholar
  24. Glaeser, E. L., La Porta, R., Lopez-de-Silanes, F., & Shleifer, A. (2004). Do institutions cause growth? Journal of Economic Growth, 9(3), 271–303.CrossRefGoogle Scholar
  25. Guiso, L., Sapienza, P., & Zingales, L. (2009). Cultural biases in economic exchange? Quarterly Journal of Economics, 124(3), 1095–1131.CrossRefGoogle Scholar
  26. Hall, R., & Jones, C. I. (1999). Why do some countries produce so much more output per worker than others? Quarterly Journal of Economics, 114(1), 83–116.CrossRefGoogle Scholar
  27. Hanushek, E., & Woessmann, L. (2011). The economics of international differences in educational achievement (chapter 2). Handbook of the Economics of Education, 3, 89–200.CrossRefGoogle Scholar
  28. Hanushek, E., & Woessmann, L. (2012). Do better schools lead to more growth? Cognitive skills, economic outcomes, and causation. Journal of Economic Growth, 17(4), 267–321.CrossRefGoogle Scholar
  29. Hanushek, E., & Woessmann, L. (2015). The knowledge capital of nations. CESifo book series. London: The MIT Press.CrossRefGoogle Scholar
  30. Hill, W., Davies, G., Lagemaat, L., Christoforou, A., Marioni, R., Fernandes, C., et al. (2014). Human cognitive ability is influenced by genetic variation in components of postsynaptic signalling complexes assembled by NMDA receptors and MAGUK proteins. Translational Psychiatry, 4, 1–8.CrossRefGoogle Scholar
  31. Johnston, D., Nicholls, M., Shah, M., & Shields, M. (2009). Nature’s experiment? Handedness and early childhood development. Demography, 46(2), 281–301.CrossRefGoogle Scholar
  32. Kodila-Tedika, O., & Asongu, S. (2016). Genetic distance and cognitive human capital: A cross-national investigation. Journal of Bioeconomics, 18(1), 33–51.CrossRefGoogle Scholar
  33. Korioth, T. (2014). Autism prevalence now 1 in 68, varies by sex, race/ethnic group. AAP News—breaking news, March 27.Google Scholar
  34. McManus, I. (2009). The history and geography of human handedness. In I. E. C. Sommer & R. S. Kahn (Eds.), Language lateralization and psychosis. Cambridge: Cambridge University Press.Google Scholar
  35. Olsson, O., & Hibbs, D., Jr. (2005). Biogeography and long-run economic development. European Economic Review, 49, 909–938.CrossRefGoogle Scholar
  36. Petril, S., Lipton, P., Hewitt, J., Plomin, R., Cherny, S., Corley, R., et al. (2004). Genetic and environmental contributions to general cognitive ability through the first 16 years of life. Developmental Psychology, 40(5), 805–812.CrossRefGoogle Scholar
  37. Plomin, R., & Craig, I. (2001). Genetics, environment and cognitive abilities: Review and work in progress towards a genome scan for quantitative trait locus associations using DNA pooling. British Journal of Psychiatry, 178, 41–48.CrossRefGoogle Scholar
  38. Ponciano, L., & Shabazian, A. (2012). Interculturalism: Addressing diversity in early childhood. Dimensions of Early Childhood, 40(1), 23–29.Google Scholar
  39. Pyysiäinen, I., & Hauser, M. (2010). The origins of religion: Evolved adaptation or by-product? Trends in Cognitive Sciences, 14(3), 104–109.CrossRefGoogle Scholar
  40. Rietveld, C., Medland, S. E., Derringer, J., Yang, J., Esko, T., Mar-tin, N. W., et al. (2013). GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science, 340(6139), 1467–1471.CrossRefGoogle Scholar
  41. Rodrik, D., Subramanian, A., & Trebbi, F. (2004). Institutions rule: The primacy of institutions over geography and integration in economic development. Journal of Economic Growth, 9(2), 131–165.CrossRefGoogle Scholar
  42. Sequeira, T. (2009). On the relationship between education and country-risk: A new fact. Acta Oeconomica, 59(4), 441–454.CrossRefGoogle Scholar
  43. Sequeira, T. (2017). Democracy and income: Taking parameter heterogeneity and cross-country dependency into account. The BE Journal of Macroeconomics, 17(2), 1–19.Google Scholar
  44. Sequeira, T., & Ferraz, N. (2009). Is education prejudiced by country-risk? Economic Record, 85(270), 307–317.CrossRefGoogle Scholar
  45. Sequeira, T. N., & Santos, M. (2017). Technology in 1500 and genetic diversity. Empirical Economics.  https://doi.org/10.1007/s00181-017-1391-6.Google Scholar
  46. Shin, M.-H., Kweon, S.-S., Choi, J.-S., Lee, Y.-H., Nam, H.-S., Park, K.-S., et al. (2014). The effect of an APOE polymorphism on cognitive function depends on age. Journal of Neurology, 261, 66–72.CrossRefGoogle Scholar
  47. Sokoloff, K., & Engerman, S. (2000). History lessons: Institutions, factor endowments, and paths of development in the new world. Journal of Economic Perspectives, 14(3), 217–232.CrossRefGoogle Scholar
  48. Tabellini, G. (2008). Institutions and culture. Journal of the European Economic Association, 6(2–3), 255–294.CrossRefGoogle Scholar
  49. Tavares, J., & Wacziarg, R. (2001). How democracy affects growth. European Economic Review, 45(8), 1341–1378.CrossRefGoogle Scholar
  50. Terry, N., & Irving, M. (2010). Cultural and linguistic 4 diversity: Issues in education. In Colarusso & O’Rourke (Eds.), Special education for ALL teachers (5th ed.). Iowa: Kendall Hunt Publishing Co.Google Scholar
  51. Tucker-Drab, E., & Harden, P. (2012). Learning motivation mediates gene-by-socioeconomic status interaction on mathematics achievement in early childhood. Learning and Individual Differences, 22, 37–45.CrossRefGoogle Scholar

Copyright information

© Eurasia Business and Economics Society 2018

Authors and Affiliations

  1. 1.Departamento de Gestão e Economia and CEFAGE-UBIUniversidade da Beira InteriorCovilhãPortugal
  2. 2.ISCTE-IUL, ISCTE Business School Economics Department, BRU-IUL (Business Research Unit)Instituto Universitário de LisboaLisbonPortugal
  3. 3.CEFAGE-UBICovilhãPortugal

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