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Proxying Economic Activity with Daytime Satellite Imagery: Filling Data Gaps Across Time and Space

Author

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  • Patrick Lehnert
  • Michael Niederberger
  • Uschi Backes-Gellner
  • Eric Bettinger

Abstract

This paper develops a novel procedure for proxying economic activity with daytime satellite imagery across time periods and spatial units, for which reliable data on economic activity are otherwise not available. In developing this unique proxy, we apply machine-learning techniques to a historical time series of daytime satellite imagery dating back to 1984. Compared to satellite data on night light intensity, another common economic proxy, our proxy more precisely predicts economic activity at smaller regional levels and over longer time horizons. We demonstrate our measure's usefulness for the example of Germany, where East German data on economic activity are unavailable for detailed regional levels and historical time series. Our procedure is generalizable to any region in the world, and it has great potential for analyzing historical economic developments, evaluating local policy reforms, and controlling for economic activity at highly disaggregated regional levels in econometric applications.

Suggested Citation

  • Patrick Lehnert & Michael Niederberger & Uschi Backes-Gellner & Eric Bettinger, 2020. "Proxying Economic Activity with Daytime Satellite Imagery: Filling Data Gaps Across Time and Space," Economics of Education Working Paper Series 0165, University of Zurich, Department of Business Administration (IBW), revised Sep 2022.
    • Handle: RePEc:iso:educat:0165
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    1. Dominic Rohner & Mathias Thoenig & Fabrizio Zilibotti, 2013. "Seeds of distrust: conflict in Uganda," Journal of Economic Growth, Springer, vol. 18(3), pages 217-252, September.
    2. Elias Papaioannou, 2014. "National Institutions and Subnational Development in Africa," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(1), pages 151-213.
    3. Deng, Xiangzheng & Huang, Jikun & Rozelle, Scott & Uchida, Emi, 2008. "Growth, population and industrialization, and urban land expansion of China," Journal of Urban Economics, Elsevier, vol. 63(1), pages 96-115, January.
    4. Toman Barsbai & Hillel Rapoport & Andreas Steinmayr & Christoph Trebesch, 2017. "The Effect of Labor Migration on the Diffusion of Democracy: Evidence from a Former Soviet Republic," American Economic Journal: Applied Economics, American Economic Association, vol. 9(3), pages 36-69, July.
    5. Michael D. König & Dominic Rohner & Mathias Thoenig & Fabrizio Zilibotti, 2017. "Networks in Conflict: Theory and Evidence From the Great War of Africa," Econometrica, Econometric Society, vol. 85, pages 1093-1132, July.
    6. J Vernon Henderson & Tim Squires & Adam Storeygard & David Weil, 2018. "The Global Distribution of Economic Activity: Nature, History, and the Role of Trade1," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(1), pages 357-406.
    7. Charlotta Mellander & José Lobo & Kevin Stolarick & Zara Matheson, 2015. "Night-Time Light Data: A Good Proxy Measure for Economic Activity?," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-18, October.
    8. Mariaflavia Harari & Eliana La Ferrara, 2018. "Conflict, Climate, and Cells: A Disaggregated Analysis," The Review of Economics and Statistics, MIT Press, vol. 100(4), pages 594-608, October.
    9. Chao Fu & Jesse Gregory, 2019. "Estimation of an Equilibrium Model With Externalities: Post‐Disaster Neighborhood Rebuilding," Econometrica, Econometric Society, vol. 87(2), pages 387-421, March.
    10. Anna Bruederle & Roland Hodler, 2018. "Nighttime lights as a proxy for human development at the local level," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-22, September.
    11. Stelios Michalopoulos & Elias Papaioannou, 2013. "Pre‐Colonial Ethnic Institutions and Contemporary African Development," Econometrica, Econometric Society, vol. 81(1), pages 113-152, January.
    12. Marcy Burchfield & Henry G. Overman & Diego Puga & Matthew A. Turner, 2006. "Causes of Sprawl: A Portrait from Space," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(2), pages 587-633.
    13. Susan Athey & Guido W. Imbens, 2019. "Machine Learning Methods That Economists Should Know About," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 685-725, August.
    14. Dingel, Jonathan I. & Miscio, Antonio & Davis, Donald R., 2021. "Cities, lights, and skills in developing economies," Journal of Urban Economics, Elsevier, vol. 125(C).
    15. Joyce J. Chen & Valerie Mueller & Yuanyuan Jia & Steven Kuo-Hsin Tseng, 2017. "Validating Migration Responses to Flooding Using Satellite and Vital Registration Data," American Economic Review, American Economic Association, vol. 107(5), pages 441-445, May.
    16. Michael A. Wulder & Nicholas C. Coops, 2014. "Satellites: Make Earth observations open access," Nature, Nature, vol. 513(7516), pages 30-31, September.
    17. Peter H Egger & Marko Koethenbuerger & Gabriel Loumeau, 2022. "Local border reforms and economic activity," Journal of Economic Geography, Oxford University Press, vol. 22(1), pages 81-102.
    18. Markus Brückner & Antonio Ciccone, 2011. "Rain and the Democratic Window of Opportunity," Econometrica, Econometric Society, vol. 79(3), pages 923-947, May.
    19. Morris A. Davis & Jonas D. M. Fisher & Toni M. Whited, 2014. "Macroeconomic Implications of Agglomeration," Econometrica, Econometric Society, vol. 82(2), pages 731-764, March.
    20. Goldblatt,Ran Philip & Heilmann,Kilian Tobias & Vaizman,Yonatan, 2019. "Can Medium-Resolution Satellite Imagery Measure Economic Activity at Small Geographies ? Evidence from Landsat in Vietnam," Policy Research Working Paper Series 9088, The World Bank.
    21. Holl, Adelheid, 2004. "Manufacturing location and impacts of road transport infrastructure: empirical evidence from Spain," Regional Science and Urban Economics, Elsevier, vol. 34(3), pages 341-363, May.
    22. Watmough, Gary R. & Atkinson, Peter M. & Saikia, Arupjyoti & Hutton, Craig W., 2016. "Understanding the Evidence Base for Poverty–Environment Relationships using Remotely Sensed Satellite Data: An Example from Assam, India," World Development, Elsevier, vol. 78(C), pages 188-203.
    23. Roland Hodler & Paul A. Raschky, 2014. "Regional Favoritism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(2), pages 995-1033.
    24. Thiemo Fetzer & Oliver Pardo & Amar Shanghavi, 2018. "More than an urban legend: the short- and long-run effects of unplanned fertility shocks," Journal of Population Economics, Springer;European Society for Population Economics, vol. 31(4), pages 1125-1176, October.
    25. Dave Donaldson & Adam Storeygard, 2016. "The View from Above: Applications of Satellite Data in Economics," Journal of Economic Perspectives, American Economic Association, vol. 30(4), pages 171-198, Fall.
    26. Lee, Yong Suk, 2018. "International isolation and regional inequality: Evidence from sanctions on North Korea," Journal of Urban Economics, Elsevier, vol. 103(C), pages 34-51.
    27. Alain de Janvry & Kyle Emerick & Marco Gonzalez-Navarro & Elisabeth Sadoulet, 2015. "Delinking Land Rights from Land Use: Certification and Migration in Mexico," American Economic Review, American Economic Association, vol. 105(10), pages 3125-3149, October.
    28. Sutton, Paul C. & Costanza, Robert, 2002. "Global estimates of market and non-market values derived from nighttime satellite imagery, land cover, and ecosystem service valuation," Ecological Economics, Elsevier, vol. 41(3), pages 509-527, June.
    29. Christopher Yeh & Anthony Perez & Anne Driscoll & George Azzari & Zhongyi Tang & David Lobell & Stefano Ermon & Marshall Burke, 2020. "Using publicly available satellite imagery and deep learning to understand economic well-being in Africa," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    30. Samuel Bazzi & Arya Gaduh & Alexander D. Rothenberg & Maisy Wong, 2016. "Skill Transferability, Migration, and Development: Evidence from Population Resettlement in Indonesia," American Economic Review, American Economic Association, vol. 106(9), pages 2658-2698, September.
    31. Maxim Pinkovskiy & Xavier Sala-i-Martin, 2016. "Lights, Camera … Income! Illuminating the National Accounts-Household Surveys Debate," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(2), pages 579-631.
    32. J. Vernon Henderson & Adam Storeygard & David N. Weil, 2012. "Measuring Economic Growth from Outer Space," American Economic Review, American Economic Association, vol. 102(2), pages 994-1028, April.
    33. Rajendra Kulkarni & Kingsley Haynes & Roger Stough & James Riggle, 2011. "Light based growth indicator (LBGI): exploratory analysis of developing a proxy for local economic growth based on night lights," Regional Science Policy & Practice, Wiley Blackwell, vol. 3(2), pages 101-113, June.
    34. Athey, Susan & Imbens, Guido W., 2019. "Machine Learning Methods Economists Should Know About," Research Papers 3776, Stanford University, Graduate School of Business.
    35. Doll, Christopher N.H. & Muller, Jan-Peter & Morley, Jeremy G., 2006. "Mapping regional economic activity from night-time light satellite imagery," Ecological Economics, Elsevier, vol. 57(1), pages 75-92, April.
    36. Breidenbach Philipp & Eilers Lea, 2018. "RWI-GEO-GRID: Socio-economic data on grid level," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 238(6), pages 609-616, October.
    37. Matthew A. Turner & Andrew Haughwout & Wilbert van der Klaauw, 2014. "Land Use Regulation and Welfare," Econometrica, Econometric Society, vol. 82(4), pages 1341-1403, July.
    38. Keola, Souknilanh & Andersson, Magnus & Hall, Ola, 2015. "Monitoring Economic Development from Space: Using Nighttime Light and Land Cover Data to Measure Economic Growth," World Development, Elsevier, vol. 66(C), pages 322-334.
    39. Patrick Lehnert & Curdin Pfister & Dietmar Harhoff & Uschi Backes-Gellner, 2020. "Innovation Effects and Knowledge Complementarities in a Diverse Research Landscape," Economics of Education Working Paper Series 0164, University of Zurich, Department of Business Administration (IBW), revised Jan 2022.
    40. Ran Goldblatt & Kilian Heilmann & Yonatan Vaizman, 0. "Can Medium-Resolution Satellite Imagery Measure Economic Activity at Small Geographies? Evidence from Landsat in Vietnam," The World Bank Economic Review, World Bank, vol. 34(3), pages 635-653.
    41. Andrew D. Foster & Mark R. Rosenzweig, 2003. "Economic Growth and the Rise of Forests," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(2), pages 601-637.
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    Cited by:

    1. Tobias Schlegel & Uschi Backes-Gellner, 2023. "The role of fields of study for the effects of higher education institutions on regional firm location," Small Business Economics, Springer, vol. 61(4), pages 1587-1656, December.

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    More about this item

    Keywords

    Daytime satellite imagery; Landsat; machine learning; economic activity; land cover;
    All these keywords.

    JEL classification:

    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns

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