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Assessing the Accuracy of Proxies of Economic Activity

Author

Listed:
  • Jhamb, Prachi
  • Ferreira, Susana
  • Stephens, Patrick R.
  • Sundaram, Mekala
  • Wilson, Jonathan

Abstract

No abstract is available for this item.

Suggested Citation

  • Jhamb, Prachi & Ferreira, Susana & Stephens, Patrick R. & Sundaram, Mekala & Wilson, Jonathan, 2023. "Assessing the Accuracy of Proxies of Economic Activity," 2023 Annual Meeting, July 23-25, Washington D.C. 335528, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea23:335528
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    File URL: https://ageconsearch.umn.edu/record/335528/files/25855.pdf
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. John Gibson & Susan Olivia & Geua Boe‐Gibson, 2020. "Night Lights In Economics: Sources And Uses," Journal of Economic Surveys, Wiley Blackwell, vol. 34(5), pages 955-980, December.
    4. John Gibson, 2021. "Better Night Lights Data, For Longer," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(3), pages 770-791, June.
    5. 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.
    6. Ola Hall & Francis Dompae & Ibrahim Wahab & Fred Mawunyo Dzanku, 2023. "A review of machine learning and satellite imagery for poverty prediction: Implications for development research and applications," Journal of International Development, John Wiley & Sons, Ltd., vol. 35(7), pages 1753-1768, October.
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