IDEAS home Printed from https://ideas.repec.org/a/eee/regeco/v85y2020ics0166046220302763.html
   My bibliography  Save this article

From twitter to GDP: Estimating economic activity from social media

Author

Listed:
  • Indaco, Agustín

Abstract

Using all geo-located image tweets shared on Twitter in 2012–2013, I find that the volume of tweets is a valid proxy for estimating GDP at the country level, explaining 78 percent of cross-country variations. I also exploit the geographic granularity of social media posts to estimate and predict GDP at the sub-national level. I find that tweets alone can explain 52 percent of the variation in GDP across cities in the US. Estimates using Twitter data perform on par with the more common night-lights proxy. Furthermore, both indicators seem to capture different aspects of economic activity and thus complement each other.

Suggested Citation

  • Indaco, Agustín, 2020. "From twitter to GDP: Estimating economic activity from social media," Regional Science and Urban Economics, Elsevier, vol. 85(C).
  • Handle: RePEc:eee:regeco:v:85:y:2020:i:c:s0166046220302763
    DOI: 10.1016/j.regsciurbeco.2020.103591
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0166046220302763
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.regsciurbeco.2020.103591?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Hanson, Gordon H., 2001. "U.S.-Mexico Integration and Regional Economies: Evidence from Border-City Pairs," Journal of Urban Economics, Elsevier, vol. 50(2), pages 259-287, September.
    2. Michael Greenstone & Richard Hornbeck & Enrico Moretti, 2010. "Identifying Agglomeration Spillovers: Evidence from Winners and Losers of Large Plant Openings," Journal of Political Economy, University of Chicago Press, vol. 118(3), pages 536-598, June.
    3. Bing Han & David Hirshleifer & Johan Walden, 2023. "Visibility Bias in the Transmission of Consumption Beliefs and Undersaving," Journal of Finance, American Finance Association, vol. 78(3), pages 1647-1704, June.
    4. Davis, Morris A. & Oliner, Stephen D. & Pinto, Edward J. & Bokka, Sankar, 2017. "Residential land values in the Washington, DC metro area: New insights from big data," Regional Science and Urban Economics, Elsevier, vol. 66(C), pages 224-246.
    5. Edward L. Glaeser & Hyunjin Kim & Michael Luca, 2019. "Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 249-273, National Bureau of Economic Research, Inc.
    6. Adriana Kocornik-Mina & Thomas K. J. McDermott & Guy Michaels & Ferdinand Rauch, 2020. "Flooded Cities," American Economic Journal: Applied Economics, American Economic Association, vol. 12(2), pages 35-66, April.
    7. 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.
    8. Banerjee, Abhijit & Duflo, Esther & Qian, Nancy, 2020. "On the road: Access to transportation infrastructure and economic growth in China," Journal of Development Economics, Elsevier, vol. 145(C).
    9. Brender, Adi & Drazen, Allan, 2005. "Political budget cycles in new versus established democracies," Journal of Monetary Economics, Elsevier, vol. 52(7), pages 1271-1295, October.
    10. Nikolaos Askitas & Klaus F. Zimmermann, 2013. "Nowcasting Business Cycles Using Toll Data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(4), pages 299-306, July.
    11. Xi Chen & William D. Nordhaus, 2010. "The Value of Luminosity Data as a Proxy for Economic Statistics," NBER Working Papers 16317, National Bureau of Economic Research, Inc.
    12. Dauth, Wolfgang & Haller, Peter, 2020. "Is there loss aversion in the trade-off between wages and commuting distances?," Regional Science and Urban Economics, Elsevier, vol. 83(C).
    13. Maxim L. Pinkovskiy, 2017. "Growth discontinuities at borders," Journal of Economic Growth, Springer, vol. 22(2), pages 145-192, June.
    14. 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.
    15. Ejaz Ghani & Arti Grover Goswami & William R. Kerr, 2016. "Highway to Success: The Impact of the Golden Quadrilateral Project for the Location and Performance of Indian Manufacturing," Economic Journal, Royal Economic Society, vol. 126(591), pages 317-357, March.
    16. John W. Dawson & Joseph P. Dejuan & John J. Seater & E. Frank Stephenson, 2001. "Economic information versus quality variation in cross-country data," Canadian Journal of Economics, Canadian Economics Association, vol. 34(4), pages 988-1009, November.
    17. Alejandro Llorente & Manuel Garcia-Herranz & Manuel Cebrian & Esteban Moro, 2015. "Social Media Fingerprints of Unemployment," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-13, May.
    18. 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.
    19. 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.
    20. Dolan Antenucci & Michael Cafarella & Margaret Levenstein & Christopher Ré & Matthew D. Shapiro, 2014. "Using Social Media to Measure Labor Market Flows," NBER Working Papers 20010, National Bureau of Economic Research, Inc.
    21. Thorstein Veblen, 1899. "Mr. Cummings's Strictures on "The Theory of the Leisure Class"," Journal of Political Economy, University of Chicago Press, vol. 8(1), pages 106-106.
    22. Sommervoll, Åvald & Sommervoll, Dag Einar, 2019. "Learning from man or machine: Spatial fixed effects in urban econometrics," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 239-252.
    23. Veblen, Thorstein, 1899. "The Theory of the Leisure Class," History of Economic Thought Books, McMaster University Archive for the History of Economic Thought, number veblen1899.
    24. Kerner, Andrew & Crabtree, Charles, 2018. "The Political Economy of Data Production," SocArXiv qsxae, Center for Open Science.
    25. 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.
    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. Carlo Corradini & Emma Folmer & Anna Rebmann, 2022. "Listening to the buzz: Exploring the link between firm creation and regional innovative atmosphere as reflected by social media," Environment and Planning A, , vol. 54(2), pages 347-369, March.
    2. Shane Greenstein, 2020. "Digital Infrastructure," NBER Chapters, in: Economic Analysis and Infrastructure Investment, pages 409-447, National Bureau of Economic Research, Inc.
    3. Ahlfeldt, Gabriel M. & Barr, Jason, 2022. "Viewing urban spatial history from tall buildings," Regional Science and Urban Economics, Elsevier, vol. 94(C).
    4. Liotta, Charlotte & Viguié, Vincent & Lepetit, Quentin, 2022. "Testing the monocentric standard urban model in a global sample of cities," Regional Science and Urban Economics, Elsevier, vol. 97(C).
    5. Ahlfeldt, Gabriel M. & Gobillon, Laurent, 2021. "Introduction to the Special issue: “Emerging Trends in Urban Economics”," Regional Science and Urban Economics, Elsevier, vol. 90(C).

    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. Thomas Steinwachs, 2019. "Geography Matters: Spatial Dimensions of Trade, Migration and Growth," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 81.
    2. Hoang Ha Nguyen Thi & Alfons Weichenrieder, 2023. "Tax Haven Welfare and the Crackdown on Secrecy: Evidence from Night Light Emissions," CESifo Working Paper Series 10721, CESifo.
    3. Felbermayr, Gabriel & Gröschl, Jasmin & Sanders, Mark & Schippers, Vincent & Steinwachs, Thomas, 2022. "The economic impact of weather anomalies," World Development, Elsevier, vol. 151(C).
    4. Felbermayr, Gabriel & Gröschl, Jasmin & Sanders, Mark & Schippers, Vincent & Steinwachs, Thomas, 2018. "Shedding Light on the Spatial Diffusion of Disasters," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181556, Verein für Socialpolitik / German Economic Association.
    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. 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.
    7. Stelios Michalopoulos & Elias Papaioannou, 2018. "Spatial Patterns of Development: A Meso Approach," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 383-410, August.
    8. 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.
    9. He, Guojun & Xie, Yang & Zhang, Bing, 2020. "Expressways, GDP, and the environment: The case of China," Journal of Development Economics, Elsevier, vol. 145(C).
    10. Jaqueson K. Galimberti, 2020. "Forecasting GDP Growth from Outer Space," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(4), pages 697-722, August.
    11. Chanda, Areendam & Kabiraj, Sujana, 2020. "Shedding light on regional growth and convergence in India," World Development, Elsevier, vol. 133(C).
    12. 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.
    13. 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.
    14. Bluhm, Richard & Krause, Melanie, 2022. "Top lights: Bright cities and their contribution to economic development," Journal of Development Economics, Elsevier, vol. 157(C).
    15. Bluhm, Richard & Krause, Melanie, 2022. "Top lights: Bright cities and their contribution to economic development," Journal of Development Economics, Elsevier, vol. 157(C).
    16. Tanner Regan & Giorgio Chiovelli & Stelios Michalopoulos & Elias Papaioannou, 2023. "Illuminating Africa?," Working Papers 2023-11, The George Washington University, Institute for International Economic Policy.
    17. Maxim L. Pinkovskiy & Xavier X. Sala-i-Martin, 2016. "Newer need not be better: evaluating the Penn World Tables and the World Development Indicators using nighttime lights," Staff Reports 778, Federal Reserve Bank of New York.
    18. Maxim L. Pinkovskiy, 2017. "Growth discontinuities at borders," Journal of Economic Growth, Springer, vol. 22(2), pages 145-192, June.
    19. Beyer, Robert C.M. & Franco-Bedoya, Sebastian & Galdo, Virgilio, 2021. "Examining the economic impact of COVID-19 in India through daily electricity consumption and nighttime light intensity," World Development, Elsevier, vol. 140(C).
    20. Alexandre Aspremont & Simon Ben Arous & Jean-Charles Bricongne & Benjamin Lietti & Baptiste Meunier, 2023. "Satellites Turn “Concrete”: Tracking Cement with Satellite Data and Neural Networks," Working papers 916, Banque de France.

    More about this item

    Keywords

    Social media data; Big data; Cities; Satellite images; National accounts;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development

    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:eee:regeco:v:85:y:2020:i:c:s0166046220302763. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/regec .

    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.