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Germs, Social Networks and Growth

Listed author(s):
  • Alessandra Fogli
  • Laura Veldkamp

Does the pattern of social connections between individuals matter for macroeconomic outcomes? If so, where do these differences come from and how large are their effects? Using network analysis tools, we explore how different social network structures affect technology diffusion and thereby a country's rate of growth. The model also explains how different social networks may emerge endogenously in response to the prevalence of infectious disease. Initial differences in disease prevalence can produce different network structures, leading to divergent levels of income. We compare calibrated model predictions with data. The model and data agree that a one-standard-deviation increase in our index of network diffusion speed results in output growth that is 1/2% higher per year.

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File URL: http://www.nber.org/papers/w18470.pdf
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 18470.

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Date of creation: Oct 2012
Handle: RePEc:nbr:nberwo:18470
Note: DEV EFG
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