IDEAS home Printed from https://ideas.repec.org/p/cwl/cwldpp/1857.html
   My bibliography  Save this paper

Improved Estimates of Using Luminosity as a Proxy for Economic Statistics: New Results and Estimates of Precision

Author

Listed:

Abstract

Previous work has analyzed whether luminosity data contain useful information for estimating economic output and concluded that there was significant promise for regions with poor quality economic statistics. The present paper examines alternative measures of the precision of the estimates using bootstrap and prior estimates of the errors for both the luminosity quality and the national accounts quality. Based on the new results, we conclude: First, for countries with high quality systems, there is no reason to use luminosity data as a supplement to standard data in any context where standard data are available. Second, we find that there is no advantage at present of using lights data for time-series corrections for any purposes where standard data are available. Third, for countries with low quality statistical systems, the estimates suggest that there may be substantial information in the luminosity data for cross-sectional estimates of output. Fourth, the major concerns about the use of lights as a proxy involve uncertainties about the precision of standard national accounts data. Finally, we recommend that future work be concentrated on integrating luminosity data into the cross sectional estimates of national and regional output primarily for countries with poor quality statistical systems.

Suggested Citation

  • William D. Nordhaus & Xi Chen, 2012. "Improved Estimates of Using Luminosity as a Proxy for Economic Statistics: New Results and Estimates of Precision," Cowles Foundation Discussion Papers 1857, Cowles Foundation for Research in Economics, Yale University.
  • Handle: RePEc:cwl:cwldpp:1857
    as

    Download full text from publisher

    File URL: https://cowles.yale.edu/sites/default/files/files/pub/d18/d1857.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Johnson, Simon & Larson, William & Papageorgiou, Chris & Subramanian, Arvind, 2013. "Is newer better? Penn World Table Revisions and their impact on growth estimates," Journal of Monetary Economics, Elsevier, vol. 60(2), pages 255-274.
    2. Dale W. Jorgenson, 2009. "A New Architecture For The U.S. National Accounts," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(1), pages 1-42, March.
    3. 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.
    4. Simon Kuznets, 1937. "National Income and Capital Formation, 1919-1935," NBER Books, National Bureau of Economic Research, Inc, number kuzn37-1.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nicolene Hamman & Andrew Phiri, 2022. "Using Nighttime Luminosity as a Proxy for Economic Growth in Africa: Is It a Bright Idea?," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 20(2 (Summer), pages 139-165.
    2. Achim Ahrens, 2015. "Civil conflicts in Africa: Climate, economic shocks, nighttime lights and spill-over effects," SEEC Discussion Papers 1501, Spatial Economics and Econometrics Centre, Heriot Watt University.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Sundar Ponnusamy & Mohammad Abbas Hakeem, 2024. "Ethnic inequality and public health," Health Economics, John Wiley & Sons, Ltd., vol. 33(1), pages 41-58, January.
    3. Christian Otchia & Simplice Asongu, 2020. "Industrial growth in sub-Saharan Africa: evidence from machine learning with insights from nightlight satellite images," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 48(8), pages 1421-1441, December.
    4. Maxim Pinkovskiy & Xavier Sala-i-Martin, 2015. "Lights, Camera,... Income! Estimating Poverty Using National Accounts, Survey Means and Lights," LIS Working papers 645, LIS Cross-National Data Center in Luxembourg.
    5. Maxim L. Pinkovskiy & Xavier X. Sala-i-Martin, 2014. "Lights, camera,...income! Estimating poverty using national accounts, survey means, and lights," Staff Reports 669, Federal Reserve Bank of New York.
    6. Asger Moll Wingender, 2014. "Structural transformation in the 20th century: A new database on agricultural employment around the world," Discussion Papers 14-28, University of Copenhagen. Department of Economics.
    7. Kammerlander, Andreas & Schulze, Günther G., 2023. "Local economic growth and infant mortality," Journal of Health Economics, Elsevier, vol. 87(C).
    8. Lessmann, Christian & Seidel, André, 2017. "Regional inequality, convergence, and its determinants – A view from outer space," European Economic Review, Elsevier, vol. 92(C), pages 110-132.
    9. Marshall Burke & Vincent Tanutama, 2019. "Climatic Constraints on Aggregate Economic Output," NBER Working Papers 25779, National Bureau of Economic Research, Inc.
    10. Papaioannou, Elias & Michalopoulos, Stelios, 2010. "Divide and Rule or the Rule of the Divided? Evidence from Africa," CEPR Discussion Papers 8088, C.E.P.R. Discussion Papers.
    11. Rosa C. Hayes & Masami Imai & Cameron A. Shelton, 2015. "Attribution Error In Economic Voting: Evidence From Trade Shocks," Economic Inquiry, Western Economic Association International, vol. 53(1), pages 258-275, January.
    12. Kacprzyk, Andrzej & Kuchta, Zbigniew, 2020. "Shining a new light on the environmental Kuznets curve for CO2 emissions," Energy Economics, Elsevier, vol. 87(C).
    13. World Bank Group, 2017. "Special Economic Zones," World Bank Publications - Reports 29054, The World Bank Group.
    14. Vernon Henderson & Adam Storeygard & David N. Weil, 2011. "A Bright Idea for Measuring Economic Growth," American Economic Review, American Economic Association, vol. 101(3), pages 194-199, May.
    15. Xi Chen & William D. Nordhaus, 2010. "The Value of Luminosity Data as a Proxy for Economic Statistics," Cowles Foundation Discussion Papers 1766, Cowles Foundation for Research in Economics, Yale University.
    16. Indaco, Agustín, 2020. "From twitter to GDP: Estimating economic activity from social media," Regional Science and Urban Economics, Elsevier, vol. 85(C).
    17. Maxim Pinkovskiy & Xavier Sala-i-Martin, 2018. "Shining a Light on Purchasing Power Parities," NBER Working Papers 24419, National Bureau of Economic Research, Inc.
    18. Xia Chen & Qiang Cheng & Ying Hao & Qiang Liu, 2020. "GDP growth incentives and earnings management: evidence from China," Review of Accounting Studies, Springer, vol. 25(3), pages 1002-1039, September.
    19. Roger, Lionel, 2019. "A replication of "The long-run impact of foreign aid in 36 African countries: Insights from multivariate time series analysis" (Oxford Bulletin of Economics and Statistics, 2014)," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 13, pages 1-53.
    20. 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.

    More about this item

    Keywords

    Luminosity; Output measurement; National accounts; Proxy measures;
    All these keywords.

    JEL classification:

    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • O5 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cwl:cwldpp:1857. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Brittany Ladd (email available below). General contact details of provider: https://edirc.repec.org/data/cowleus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.