The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
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)
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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
Cited by
Sorted by citations
Items 701–800 of 1,000
Transferability of Economy Estimation Based on DMSP/OLS Night-Time Light
Qi, K., Hu, Y., Cheng, C., & Chen, B. (2017) · Remote Sensing · doi:10.3390/rs9080786 · Cited by 18
Liu, D., He, Y., & Wang, Q. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.124847 · Cited by 18
Lifting of International Sanctions and the Shadow Economy in Iran—A View from Outer Space
Farzanegan, M. R., & Fischer, S. (2021) · Remote Sensing · doi:10.3390/rs13224620 · Cited by 18
Evaluation and drivers of global low-carbon economies based on satellite data
Chen, J., Gao, M., Cheng, S., Xu, Y., Song, M., Liu, Y., Hou, W., & Wang, S. (2022) · Humanities and Social Sciences Communications · doi:10.1057/s41599-022-01171-y · Cited by 18
Measuring Quarterly Economic Growth from Outer Space
Beyer, R., Hu, Y., & Yao, J. (2022) · IMF Working Paper · doi:10.5089/9798400211553.001 · Cited by 18
Transport Infrastructure and the Decentralization of Cities in the People's Republic of China
Baum-Snow, N. B., & Turner, M. A. (2017) · Asian Development Review · doi:10.1162/adev_a_00094 · Cited by 18
Narita, F., & Yin, R. (2018) · IMF Working Paper · doi:10.5089/9781484390177.001 · Cited by 20
Multinationals, Monopsony, and Local Development: Evidence from the United Fruit CompanyPreprint
Mendez-Chacon, E., & Patten, D. V. (2021) · doi:10.21034/iwp.46 · Cited by 18
Collateral Damage: The Legacy of the Secret War in LaosPreprint
Riaño, J. F., & Caicedo, F. V. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3678347 · Cited by 18
OECD (2017) · OECD science, technology and industry policy papers · doi:10.1787/c9bb055f-en · Cited by 19
Illuminating the Effects of the Us-China Tariff War on China's EconomyPreprint
Chor, D., & Li, B. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3940035 · Cited by 19
Aid on Demand: African Leaders and the Geography of China's Foreign AssistancePreprint
Dreher, A., Fuchs, A., Hodler, R., Parks, B. C., Raschky, P. A., & Tierney, M. J. (2014) · SSRN Electronic Journal · doi:10.2139/ssrn.2531966 · Cited by 23
Electrification and economic growth: Evidence from china's rural primary electrification program
Lin, Y., & Xu, C. (2023) · China Economic Review · doi:10.1016/j.chieco.2023.102084 · Cited by 18
Zheng, L., Xue, Y., & Huang, D. (2025) · Journal of Transport Geography · doi:10.1016/j.jtrangeo.2025.104132 · Cited by 17
Shen, H., Zhang, Y., Wang, M., & Lei, Y. (2025) · China Economic Review · doi:10.1016/j.chieco.2025.102365 · Cited by 17
Planar Block Adjustment for China’s Land Regions with LuoJia1-01 Nighttime Light Imagery
Li, X., Wang, T., Guo Zhang, A., Jiang, B., Jia, P., Zhang, Z., & Zhao, Y. C. (2019) · Remote Sensing · doi:10.3390/rs11182097 · Cited by 17
Modeling China’s Prefecture-Level Economy Using VIIRS Imagery and Spatial Methods
Cao, J., Chen, Y., Wilson, J. P., Tan, H., Yang, J., & Xu, Z. (2020) · Remote Sensing · doi:10.3390/rs12050839 · Cited by 17
Collateral Damage: The Legacy of the Secret War in Laos
Riaño, J. F., & Caicedo, F. V. (2020) · The Economic Journal · doi:10.1093/ej/ueae004 · Cited by 32
Yu, L. (2021) · The Annals of Regional Science · doi:10.1007/s00168-021-01061-2 · Cited by 17
Looking Back, Looking Forward: Progress and Prospect for Spatial Demography
Matthews, S. A., Stiberman, L., Raymer, J., Yang, T., Gayawan, E., Saita, S., Tun, S. T. T., Parker, D. M., Balk, D. L., Leyk, S., et al. (2021) · Spatial Demography · doi:10.1007/s40980-021-00084-9 · Cited by 19
Using VIIRS nightlights to estimate the impact of the 2015 Nepal earthquakes
Tveit, T., Skoufias, E., & Strobl, E. (2022) · Geoenvironmental Disasters · doi:10.1186/s40677-021-00204-z · Cited by 17
Zhang, H., Liu, X., Xie, Y., Gou, Q., Li, R., Qiu, Y., Hu, Y., & Huang, B. (2022) · Remote Sensing · doi:10.3390/rs14092010 · Cited by 17
Global GDP Prediction With Night-Lights and Transfer Learning
Price, N., & Atkinson, P. M. (2022) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2022.3200754 · Cited by 17
Measuring urban quality and change through the detection of physical attributes of decay
Vallebueno, A., & Lee, Y. S. (2023) · Scientific Reports · doi:10.1038/s41598-023-44551-3 · Cited by 21
Short-term success and long-term failure? The case of GDP growth targets and corporate innovation
Sun, Y., Chen, Y., & Wu, W. (2024) · Pacific-Basin Finance Journal · doi:10.1016/j.pacfin.2024.102308 · Cited by 16
Remote high-speed rail stations, urban land supply, and the emergence of new economic activities
Zheng, L., & Wu, S. (2024) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2024.104226 · Cited by 17
Kunieda, T., Okada, K., & Shibata, A. (2016) · Economic Notes · doi:10.1111/ecno.12061 · Cited by 17
A missing component of Arctic warming: black carbon from gas flaring
Cho, M.-H., Park, R. J., Yoon, J., Choi, Y., Jeong, J. I., Labzovskii, L. D., Fu, J. S., Huang, K., Jeong, S., & Kim, B. (2019) · Environmental Research Letters · doi:10.1088/1748-9326/ab374d · Cited by 17
Spatiotemporal Analysis of Venezuela's Nighttime Light During the Socioeconomic Crisis
Zhang, L., Li, X., & Chen, F. (2020) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2020.2995695 · Cited by 17
Natural resource access and local economic growth
Gradstein, M., & Klemp, M. (2020) · European Economic Review · doi:10.1016/j.euroecorev.2020.103441 · Cited by 19
Political favoritism by powerful politicians: Evidence from chief ministers in India
Khalil, U., Oak, M. P., & Ponnusamy, S. (2020) · European Journal of Political Economy · doi:10.1016/j.ejpoleco.2020.101949 · Cited by 19
VALIDATING CHINA'S OUTPUT DATA USING SATELLITE OBSERVATIONS
Morris, S. D., & Zhang, J. (2018) · Macroeconomic Dynamics · doi:10.1017/s1365100518000056 · Cited by 17
Hu, Y., Chen, J., Cao, X., Chen, X., Cui, X., & Gan, L. (2021) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2021.3060170 · Cited by 17
Michalopoulos, S., & Papaioannou, E. (2014) · Economics Letters · doi:10.1016/j.econlet.2014.10.017 · Cited by 20
An empirical analysis of night-time light data based on the gravity model
Li, L., Sun, Z., & Xiang, L. (2018) · Applied Economics · doi:10.1080/00036846.2018.1523612 · Cited by 17
Missionaries in Latin America and Asia: A First Global Mass Education Wave
Caicedo, F. V. (2019) · Palgrave studies in economic history · doi:10.1007/978-3-030-25417-9_3 · Cited by 17
How much did China's WTO accession increase economic growth in resource-rich countries?
Andersen, T. B., Barslund, M., Hansen, C. W., Harr, T., & Jensen, P. S. (2014) · China Economic Review · doi:10.1016/j.chieco.2014.05.001 · Cited by 17
Population Diversity, Division of Labor and Comparative DevelopmentPreprint
Depetris-Chauvín, E., & Özak, Ö. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2759121 · Cited by 17
Agricultural Fires and Infant Health
Rangel, M. A., & Vogl, T. (2016) · National Bureau of Economic Research · doi:10.3386/w22955 · Cited by 18
Surfing a Wave of Economic GrowthPreprint
McGregor, T., & Wills, S. (2017) · SSRN Electronic Journal · doi:10.2139/ssrn.2955476 · Cited by 18
Using RCTs to Estimate Long-Run Impacts in Development Economics
Bouguen, A., Huang, Y., Kremer, M. R., & Miguel, E. A. (2018) · National Bureau of Economic Research · doi:10.3386/w25356 · Cited by 16
Authoritarian Governments Appear to Manipulate COVID DataPreprint
Kapoor, M., Malani, A., Ravi, S., & Agrawal, A. (2020) · RePEc: Research Papers in Economics · doi:10.48550/arxiv.2007.09566 · Cited by 17
Elite Cleavage and the Rise of Capitalism under Authoritarianism: A Tale of Two Provinces in China
Zhang, Q., Zhang, D., Liu, M., & Shih, V. (2020) · The Journal of Politics · doi:10.1086/711131 · Cited by 16
Earth Observation and Economic Studies: A Cross-fertilization Perspective
Florio, M., & Morretta, V. (2021) · Space Policy · doi:10.1016/j.spacepol.2021.101429 · Cited by 16
Predicting intra‐urban well‐being from space with nonlinear machine learning
Wójcik, P. T., & Andruszek, K. (2021) · Regional Science Policy & Practice · doi:10.1111/rsp3.12478 · Cited by 17
Geodata in labor market research: trends, potentials and perspectives
Ostermann, K., Eppelsheimer, J., Gläser, N., Haller, P., & Oertel, M. (2022) · Journal for Labour Market Research · doi:10.1186/s12651-022-00310-x · Cited by 16
Lin, Y., Zhang, T., Liu, X., Yu, J., Li, J., & Gao, K. (2022) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2022.102903 · Cited by 16
Wang, J., Qiu, S., Du, J., Meng, S., Wang, C., Teng, F., & Liu, Y. (2022) · Land · doi:10.3390/land11071067 · Cited by 16
Li, Y., & Song, Z. (2022) · Forest Policy and Economics · doi:10.1016/j.forpol.2022.102845 · Cited by 16
World Bank aid and local multidimensional poverty in Sub-Saharan Africa
Zhang, L., Li, X., Zhuang, Y., & Li, N. (2022) · Economic Modelling · doi:10.1016/j.econmod.2022.106065 · Cited by 16
Proxying economic activity with daytime satellite imagery: Filling data gaps across time and space
Lehnert, P., Niederberger, M., Backes‐Gellner, U., & Bettinger, E. (2023) · PNAS Nexus · doi:10.1093/pnasnexus/pgad099 · Cited by 19
Nguyen, N. M., Luu, N. H., Hoang, A., & Nguyen, M. T. N. (2023) · Journal of Financial Economic Policy · doi:10.1108/jfep-01-2023-0020 · Cited by 16
Puttanapong, N., Prasertsoong, N., & Peechapat, W. (2023) · Asian Development Review · doi:10.1142/s0116110523400024 · Cited by 16
The role of micro data in understanding structural transformation
Lagakos, D. P., & Shu, M. (2023) · Oxford Development Studies · doi:10.1080/13600818.2023.2278601 · Cited by 16
Consumption Response to a Natural Disaster: Evidence of Price and Income Shocks from Chennai Flood
Agarwal, S. D., Ghosh, P., & Zheng, H. (2020) · Energy Economics · doi:10.1016/j.eneco.2024.107323 · Cited by 16
Water Scarcity and Local Economic Activity: Spatial Spillovers and the Role of Irrigation
Marbler, A. (2023) · Journal of Environmental Economics and Management · doi:10.1016/j.jeem.2024.102931 · Cited by 18
Local sources of vulnerability to climate change and armed conflicts in East Africa
Cappelli, F., Costantini, V., D’Angeli, M., Marin, G., & Paglialunga, E. (2024) · Journal of Environmental Management · doi:10.1016/j.jenvman.2024.120403 · Cited by 16
Innovation-Driven Cities: Reconciling economic growth and ecological sustainability
Chen, F., Zhu, L., Zhang, H., & Li, Y. (2025) · Sustainable cities and society · doi:10.1016/j.scs.2025.106230 · Cited by 17
Kundt, T., Misch, F., & Nerré, B. (2016) · International Tax and Public Finance · doi:10.1007/s10797-015-9373-0 · Cited by 16
Xu, J., Zhao, J., Zhang, H., & Guo, X. (2020) · Journal of Urban Planning and Development · doi:10.1061/(asce)up.1943-5444.0000606 · Cited by 16
Miranda, J. J., Ishizawa, O. A., & Zhang, H. (2020) · Economics of Disasters and Climate Change · doi:10.1007/s41885-020-00068-x · Cited by 19
Current Labour Market Challenges in the Light of Future Economic and Demographic Developments
Grenčíková, A., Habánik, J., Španková, J., Húževka, M., & Šrámka, M. (2022) · European Journal of Interdisciplinary Studies · doi:10.24818/ejis.2022.07 · Cited by 16
Crime under the Light? Examining the Effects of Nighttime Lighting on Crime in China
Peng, C., Sun, W., & Zhang, X. (2022) · Land · doi:10.3390/land11122305 · Cited by 16
Explaining Subnational Infant Mortality and Poverty Rates: What Can We Learn from Night-Time Lights?
Chen, X. (2015) · Spatial Demography · doi:10.1007/s40980-015-0009-x · Cited by 16
National or political cake? The political economy of intergovernmental transfers in Nigeria
Maystadt, J.-F., & Salihu, M.-K. (2018) · Journal of Economic Geography · doi:10.1093/jeg/lby032 · Cited by 16
Bonilla‐Mejía, L., & Higuera-Mendieta, I. G. (2017) · doi:10.32468/dtseru.260 · Cited by 17
Goldblatt, R., Heilmann, K., & Vaizman, Y. (2019) · World Bank, Washington, DC eBooks · doi:10.1596/1813-9450-9088 · Cited by 16
What We Teach About Race and Gender: Representation in Images and Text of Children’s BooksPreprint
Adukia, A., Eble, A., Harrison, E., Runesha, H. B., & Szasz, T. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3825080 · Cited by 20
Governments manipulate official Statistics: Institutions matter
Briviba, A., Frey, B. S., Moser, L., & Bieri, S. (2024) · European Journal of Political Economy · doi:10.1016/j.ejpoleco.2024.102523 · Cited by 15
Public Safety for Women: Is Regulation of Social Drinking Spaces Effective?
Khurana, S., & Mahajan, K. (2021) · The Journal of Development Studies · doi:10.1080/00220388.2021.1961747 · Cited by 15
Yamada, T., & Yamada, H. (2021) · Journal of Development Economics · doi:10.1016/j.jdeveco.2020.102611 · Cited by 19
Threshold regression with nonparametric sample splitting
Lee, Y., & Wang, Y. (2022) · Journal of Econometrics · doi:10.1016/j.jeconom.2022.07.005 · Cited by 15
Viewing urban spatial history from tall buildings
Ahlfeldt, G. M., & Barr, J. M. (2020) · Regional Science and Urban Economics · doi:10.1016/j.regsciurbeco.2020.103618 · Cited by 15
Bai, Y., Arabadzhyan, A., & Li, Y. (2022) · Journal of Economic Behavior & Organization · doi:10.1016/j.jebo.2022.01.010 · Cited by 15
Arbatlı, C. E., & Gokmen, G. (2022) · Journal of Economic Growth · doi:10.1007/s10887-022-09210-8 · Cited by 15
Born in the Right Place? Ministers' Favoritism and Infant Mortality
Widmer, P., & Zurlinden, N. (2021) · Journal of Public Economics · doi:10.1016/j.jpubeco.2022.104707 · Cited by 16
Assessing regional economy in North Korea using nighttime light
Kim, D. (2022) · Asia and the Global Economy · doi:10.1016/j.aglobe.2022.100046 · Cited by 15
Using Satellite Images and Deep Learning to Measure Health and Living Standards in India
Daoud, A., Jordán, F., Sharma, M., Johansson, F., Dubhashi, D., Paul, S. B., & Banerjee, S. (2023) · Social Indicators Research · doi:10.1007/s11205-023-03112-x · Cited by 26
The impact of educated leaders on economic development: Evidence from India
Jain, C., Kashyap, S., Lahoti, R., & Sahoo, S. (2023) · Journal of Comparative Economics · doi:10.1016/j.jce.2023.05.001 · Cited by 15
International Financial Reporting Standards and the Macroeconomy
Kausar, A., & Park, Y. (2023) · The Accounting Review · doi:10.2308/tar-2020-0459 · Cited by 15
Policy interventions and market innovation in rural China: Empirical evidence from Taobao villages
Gao, J., Zeng, Y., & Liu, M. (2024) · Economic Analysis and Policy · doi:10.1016/j.eap.2024.02.015 · Cited by 18
McSharry, P., & Mawejje, J. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123399 · Cited by 15
The impact of China's 2014 Hukou reform on economic growth
Guo, X., & Xu, J. (2024) · Economic Analysis and Policy · doi:10.1016/j.eap.2024.12.031 · Cited by 15
The impact of ESG advantages on the economic development of neighboring regions
Huang, C., Hao, S., & Ma, L. (2025) · Energy Economics · doi:10.1016/j.eneco.2025.108431 · Cited by 16
Community effects of electrification: Evidence from Burkina Faso’s grid extension
Schmidt, M., & Moradi, A. (2025) · Journal of Development Economics · doi:10.1016/j.jdeveco.2025.103556 · Cited by 15
Wang, Y. (2017) · Education Policy Analysis Archives · doi:10.14507/epaa.25.3037 · Cited by 18
Can Small Incentives Have Large Payoffs? Health Impacts of a Cash Transfer Program in Bolivia
Celhay, P., Johannsen, J., Martínez, S., & Vidal, C. (2019) · Economic Development and Cultural Change · doi:10.1086/703085 · Cited by 15
Infrastructure and economic development in developing economies
Luu, H. N., Nguyen, N. M., Ho, H. H., & Tien, D. N. (2019) · International Journal of Social Economics · doi:10.1108/ijse-05-2018-0252 · Cited by 16
Kang, M.-G., & Jung, M. C. (2019) · Remote Sensing · doi:10.3390/rs11182140 · Cited by 15
Goodman, S., BenYishay, A., & Runfola, D. M. (2020) · Transactions in GIS · doi:10.1111/tgis.12661 · Cited by 15
The bounty of the sea and long-run development
Dalgaard, C., Knudsen, A. S. B., & Selaya, P. (2020) · Journal of Economic Growth · doi:10.1007/s10887-020-09181-8 · Cited by 29
Firms and Households during the Pandemic: What Do We Learn from Their Electricity Consumption?
Bover, O., Fabra, N., García-Uribe, S., Lacuesta, A., & Ramos, R. (2022) · The Energy Journal · doi:10.5547/01956574.44.2.obov · Cited by 15
Kim, K. (2021) · Journal of Asian Economics · doi:10.1016/j.asieco.2021.101405 · Cited by 14
Rainfall shocks, child mortality, and water infrastructure
Ponnusamy, S. (2022) · Health Economics · doi:10.1002/hec.4498 · Cited by 15
Questionable Inference on the Power of Pre-Colonial Institutions in Africa
Cogneau, D., & Dupraz, Y. (2014) · Cited by 15
Fiscal interactions in the short and the long run: evidence from German reunification
Baskaran, T. (2018) · Journal of Economic Geography · doi:10.1093/jeg/lby068 · Cited by 15
World Bank Group (2017) · World Bank, Washington, DC eBooks · doi:10.1596/29054 · Cited by 15
Laohasiriwong, W., Puttanapong, N., & Luenam, A. (2018) · F1000Research · doi:10.12688/f1000research.12128.2 · Cited by 15
Road Oft Taken: The Route to Spatial DevelopmentPreprint
Khanna, G. (2014) · SSRN Electronic Journal · doi:10.2139/ssrn.2426835 · Cited by 15
Can Parental Migration Reduce Petty Corruption in Education?Preprint
Höckel, L. S., Silva, M. S., & Stoehr, T. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2721691 · Cited by 15
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review