IDEAS home Printed from https://ideas.repec.org/a/wea/worler/v2015y2015i5p54.html
   My bibliography  Save this article

Data Visualization in Capital in the 21st Century

Author

Listed:
  • Noah Wright

    (Lyndon B. Johnson School of Public Affairs, University of Texas, Austin, USA)

Abstract

This paper examines how data visualization is used to supplement the arguments in Thomas Piketty's Capital in the 21st Century. Piketty shows a consistent pattern of modifying his visualizations to provide stronger support for his arguments than his data contains, particularly in his visualizations of the rate of return on capital as it compares to the rate of economic growth, one of the central arguments of the book. This modification takes the form of using disproportionate axis units and the addition of estimated or speculative context. The effect of this modification is to change the fundamental shape of the data trends, which can be clearly seen when proportional axes are used and hypothetical context removed.

Suggested Citation

  • Noah Wright, 2015. "Data Visualization in Capital in the 21st Century," World Economic Review, World Economics Association, vol. 2015(5), pages 1-54, July.
  • Handle: RePEc:wea:worler:v:2015:y:2015:i:5:p:54
    as

    Download full text from publisher

    File URL: http://wer.worldeconomicsassociation.org/papers/data-visualization-in-capital-in-the-21st-century/
    Download Restriction: no

    File URL: http://wer.worldeconomicsassociation.org/files/WEA-WER-5-Wright.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Emmanuel Saez, 2015. "Striking it Richer: The Evolution of Top Incomes in the United States (Updated with 2014 preliminary estimates)," Technical Notes 201506, World Inequality Lab.
    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. J.E. King, 2017. "The Literature on Piketty," Review of Political Economy, Taylor & Francis Journals, vol. 29(1), pages 1-17, January.

    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. Yılmaz Akyüz, 2018. "Inequality, financialisation and stagnation," The Economic and Labour Relations Review, , vol. 29(4), pages 428-445, December.
    2. Ian R. Gordon, 2016. "Quantitative easing of an international financial centre: how central London came so well out of the post-2007 crisis," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 9(2), pages 335-353.
    3. Corneo, Giacomo, 2018. "Time-poor, working, super-rich," European Economic Review, Elsevier, vol. 101(C), pages 1-19.
    4. Jordá, Vanesa & Niño-Zarazúa, Miguel, 2019. "Global inequality: How large is the effect of top incomes?," World Development, Elsevier, vol. 123(C), pages 1-1.
    5. Mian, A. & Sufi, A., 2016. "Who Bears the Cost of Recessions? The Role of House Prices and Household Debt," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 255-296, Elsevier.
    6. John M. Abowd & Kevin L. McKinney & Nellie L. Zhao, 2018. "Earnings Inequality and Mobility Trends in the United States: Nationally Representative Estimates from Longitudinally Linked Employer-Employee Data," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 183-300.
    7. Judd B. Kessler & Katherine L. Milkman & C. Yiwei Zhang, 2019. "Getting the Rich and Powerful to Give," Management Science, INFORMS, vol. 65(9), pages 4049-4062, September.
    8. Nason, Robert S. & Carney, Michael & Le Breton-Miller, Isabelle & Miller, Danny, 2019. "Who cares about socioemotional wealth? SEW and rentier perspectives on the one percent wealthiest business households," Journal of Family Business Strategy, Elsevier, vol. 10(2), pages 144-158.

    More about this item

    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:wea:worler:v:2015:y:2015:i:5:p:54. 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: Jake McMurchie (email available below). General contact details of provider: https://edirc.repec.org/data/worecea.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.