Replication data for: Measuring Economic Growth from Outer Space
Principal Investigator(s): View help for Principal Investigator(s) J. Vernon Henderson; Adam Storeygard; David N. Weil
Version: View help for Version V1
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LICENSE.txt | text/plain | 14.6 KB | 10/11/2019 01:24:PM |
Project Citation:
Henderson, J. Vernon, Storeygard, Adam, and Weil, David N. Replication data for: Measuring Economic Growth from Outer Space. Nashville, TN: American Economic Association [publisher], 2012. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-11. https://doi.org/10.3886/E112518V1
Project Description
Summary:
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We develop a statistical framework to use satellite data on night lights to augment official income growth measures. For countries with poor national income accounts, the optimal estimate of growth is a composite with roughly equal weights on conventionally measured growth and growth predicted from lights. Our estimates differ from official data by up to three percentage points annually. Using lights, empirical analyses of growth need no longer use countries as the unit of analysis; we can measure growth for sub- and supranational regions. We show, for example, that coastal areas
in sub-Saharan Africa are growing slower than the hinterland. (JEL E01, E23, O11, 047, 057)
Scope of Project
Subject Terms:
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proxy;
GDP;
Satellites;
remote sensing
JEL Classification:
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E01 Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
E23 Macroeconomics: Production
O11 Macroeconomic Analyses of Economic Development
O47 Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
O57 Comparative Studies of Countries
E01 Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
E23 Macroeconomics: Production
O11 Macroeconomic Analyses of Economic Development
O47 Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
O57 Comparative Studies of Countries
Geographic Coverage:
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Global
Time Period(s):
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1992 – 2008 (1992-2008, annual)
Data Type(s):
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geographic information system (GIS) data;
aggregate data
Methodology
Unit(s) of Observation:
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countries,
30-arc-second pixels (approximately 1 km^2 at the equator, decreasing with the cosine of latitude)
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