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Measuring Economic Growth from Outer Space
Open accessAbstract
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)
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“A number of recent papers have argued that nighttime light intensity measured by weather satellites is a good proxy for GDP.”
From Economic reforms and industrial policy in a panel of Chinese cities (2016) · cites this paper as Henderson et al. (2012)
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Cites
Tests for Specification Errors in Classical Linear Least-Squares Regression Analysis
Ramsey, J. B. (1969) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.2517-6161.1969.tb00796.x · Cited by 3,388
Education for Growth: Why and for Whom?
Krueger, A. B., & Lindahl, M. (2001) · Journal of Economic Literature · doi:10.1257/jel.39.4.1101 · Cited by 2,121
Geography and Economic Development
Gallup, J. L., Sachs, J. D., & Mellinger, A. D. (1999) · International Regional Science Review · doi:10.1177/016001799761012334 · Cited by 1,366
Using luminosity data as a proxy for economic statistics
Chen, X., & Nordhaus, W. D. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1017031108 · Cited by 1,188
Elvidge, C. D., Baugh, K. E., Kihn, E. A., Kroehl, H. W., Davis, E. R., & Davis, C. W. (1997) · International Journal of Remote Sensing · doi:10.1080/014311697218485 · Cited by 941
A Fifteen Year Record of Global Natural Gas Flaring Derived from Satellite Data
Elvidge, C. D., Ziskin, D. C., Baugh, K., Tuttle, B. T., Ghosh, T., Pack, D. W., Erwin, E. H., & Zhizhin, M. N. (2009) · Energies · doi:10.3390/en20300595 · Cited by 914
The Urbanization Process and Economic Growth: The So-What Question
Henderson, V. (2003) · Journal of Economic Growth · doi:10.1023/a:1022860800744 · Cited by 828
Trade and Circuses: Explaining Urban Giants
Ades, A. F., & Glaeser, E. L. (1995) · The Quarterly Journal of Economics · doi:10.2307/2118515 · Cited by 824
Causes of Sprawl: A Portrait from Space
Burchfield, M., Overman, H. G., Puga, D., & Turner, M. A. (2006) · The Quarterly Journal of Economics · doi:10.1162/qjec.2006.121.2.587 · Cited by 746
Mapping regional economic activity from night-time light satellite imagery
Doll, C., Muller, J., & Morley, J. (2006) · Ecological Economics · doi:10.1016/j.ecolecon.2005.03.007 · Cited by 703
Flagged first, then by citations
Research works printed but not linked: 6
- Ebener Steve, 2005, international Journal of health geographics, 4, 1
- Ghosh Tilottama, 2010, the Open geography Journal, 3, 148
- Good David F, 1994, Income Estimates for the Habsburg Successor States, 1870
- Nuxoll Daniel A, 1994, American Economic Review, 84, 1423
- Sutton Paul C, 2007, international Journal of Ecological Economics and Statistics, 8, 5
- Weil David N, 2010, Journal of African Economies, 19, 81
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Metadata
- Authors
- Henderson, J. V., Storeygard, A., & Weil, D. N.
- Affiliations
- National Bureau of Economic Research (US)
- Venue
- American Economic Review
- Publisher
- American Economic Association
- Published
- 2012-04-01
- Volume
- 102
- Issue
- 2
- Pages
- 994-1028
- ISSN
- 0002-8282 (ISSN-L)
- PMC
- PMC4108272
- OpenAlex
- W3125333792
- Cited by
- 2,596
- References
- 22
- Citations by year
- 2026: 268 · 2025: 246 · 2024: 225 · 2023: 252 · 2022: 295 · 2021: 262 · 2020: 216 · 2019: 222 · 2018: 161 · 2017: 114 · 2016: 102 · 2015: 89 · 2014: 71 · 2013: 37 · 2012: 15
- FWCI
- 56.17
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- American Economic Review (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- London School of Economics and Political Science Theses Online (London School of Economics and Political Science) (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R24HD041020, T32HD007338)
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Impact of Light on Environment and Health
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic Growth and Productivity
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic Growth and Development
- Keywords
- economic growth measurement, nighttime lights, satellite data, GDP growth, income growth, national accounts, measurement error, regional economic growth, sub-Saharan Africa, malaria, primate city, coastal areas
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