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An Economist's Guide to Visualizing Data

Author

Listed:
  • Jonathan A. Schwabish

Abstract

Once upon a time, a picture was worth a thousand words. But with online news, blogs, and social media, a good picture can now be worth so much more. Economists who want to disseminate their research, both inside and outside the seminar room, should invest some time in thinking about how to construct compelling and effective graphics.

Suggested Citation

  • Jonathan A. Schwabish, 2014. "An Economist's Guide to Visualizing Data," Journal of Economic Perspectives, American Economic Association, vol. 28(1), pages 209-234, Winter.
    • Handle: RePEc:aea:jecper:v:28:y:2014:i:1:p:209-34
    Note: DOI: 10.1257/jep.28.1.209
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    File URL: http://www.aeaweb.org/articles.php?doi=10.1257/jep.28.1.209
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    References listed on IDEAS

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    2. Ralph Stinebrickner & Todd Stinebrickner, 2014. "Academic Performance and College Dropout: Using Longitudinal Expectations Data to Estimate a Learning Model," Journal of Labor Economics, University of Chicago Press, vol. 32(3), pages 601-644.
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    Cited by:

    1. Aikman, David & Kiley, Michael & Lee, Seung Jung & Palumbo, Michael G. & Warusawitharana, Missaka, 2017. "Mapping heat in the U.S. financial system," Journal of Banking & Finance, Elsevier, vol. 81(C), pages 36-64.
    2. Garret Christensen & Edward Miguel, 2018. "Transparency, Reproducibility, and the Credibility of Economics Research," Journal of Economic Literature, American Economic Association, vol. 56(3), pages 920-980, September.
    3. Flood, Mark D. & Lemieux, Victoria L. & Varga, Margaret & William Wong, B.L., 2016. "The application of visual analytics to financial stability monitoring," Journal of Financial Stability, Elsevier, vol. 27(C), pages 180-197.
    4. Ganga Shreedhar & Susana Mourato, 2020. "Linking Human Destruction of Nature to COVID-19 Increases Support for Wildlife Conservation Policies," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 963-999, August.
    5. Tomasz Kopczewski, 2015. "Think not calculate! Implementation of Felix Klein postulates in economic education with CAS software," Working Papers 2015-38, Faculty of Economic Sciences, University of Warsaw.
    6. Ronald Heijmans & Richard Heuver & Clement Levallois & Iman van Lelyveld, 2014. "Dynamic visualization of large transaction networks: the daily Dutch overnight money market," DNB Working Papers 418, Netherlands Central Bank, Research Department.
    7. Nicodemo, Catia & Satorra, Albert, 2020. "Exploratory Data Analysis on Large Data Sets: The Example of Salary Variation in Spanish Social Security Data," IZA Discussion Papers 13459, IZA Network @ LISER.
    8. repec:osf:metaar:9a3rw_v1 is not listed on IDEAS
    9. Jill Caviglia‐Harris, 2023. "Opening the gates: The increasing impact of papers beyond the top five and other changes in economic publishing," Southern Economic Journal, John Wiley & Sons, vol. 90(2), pages 474-496, October.
    10. Knittel Christopher R. & Metaxoglou Konstantinos, 2018. "Working with Data: Two Empiricists’ Experience," Journal of Econometric Methods, De Gruyter, vol. 7(1), pages 1-12, January.
    11. Luc Bissonnette & Arthur van Soest, 2015. "The Financial Crisis and Consumers' Income and Pension Expectations," Cahiers de recherche 1502, Chaire de recherche Industrielle Alliance sur les enjeux économiques des changements démographiques.
    12. Kinsella, Stephen, 2019. "Visualising economic crises using accounting models," Accounting, Organizations and Society, Elsevier, vol. 75(C), pages 1-16.
    13. Bengtsson, Elias & Grothe, Magdalena & Lepers, Etienne, 2020. "Home, safe home: Cross-country monitoring framework for vulnerabilities in the residential real estate sector," Journal of Banking & Finance, Elsevier, vol. 112(C).

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    More about this item

    JEL classification:

    • A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General

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