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Ancestry and Development: New Evidence

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  • Enrico Spolaore
  • Romain Wacziarg

Abstract

We revisit the relation between ancestral distance and barriers to the diffusion of development using a new genomic dataset on human microsatellite variation. With these new data we find a statistically and economic significant effect of ancestral distance from the technological frontier on income per capita, controlling for geographic factors, climatic differences, continental fixed effects and genetic diversity within populations. The historical pattern of the effect is hump shaped, peaking between 1870 and 1913, and declining steeply afterwards. These findings are consistent with the hypothesis that ancestral distance acts as a temporary barrier to the diffusion of innovations and development.

Suggested Citation

  • Enrico Spolaore & Romain Wacziarg, 2016. "Ancestry and Development: New Evidence," Discussion Papers Series, Department of Economics, Tufts University 0820, Department of Economics, Tufts University.
    • Handle: RePEc:tuf:tuftec:0820
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    1. Cameron, A. Colin & Gelbach, Jonah B. & Miller, Douglas L., 2011. "Robust Inference With Multiway Clustering," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(2), pages 238-249.
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    8. Spolaore, Enrico & Wacziarg, Romain, 2014. "Long-Term Barriers to Economic Development," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 3, pages 121-176, Elsevier.
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