Adam
Storeygard
Graduate Student
Department of Economics
Brown University
Email: adam_storeygard (at) brown.edu
CV
Research (below)
GIS
data and tips
GDP growth is often measured poorly for countries and rarely measured
at all for cities. We propose a readily available proxy: satellite data
on lights at night. Our statistical framework uses light growth to
supplement existing income growth measures. The framework is applied to
countries with the lowest quality income data, resulting in estimates
of growth that differ substantially from established estimates. We then
consider a longstanding debate: do increases in local agricultural
productivity increase city incomes? For African cities, we find that
exogenous agricultural productivity shocks (high rainfall years) have
substantial effects on local urban economic activity.