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Data literacy in economic development

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  • Simon D. Halliday

Abstract

In economic development and other economics electives, students regularly encounter economic measures of absolute and relative deprivation, from poverty measures like the Foster-Greer-Thorbecke index to measures of distribution like the Gini index. By “doing economics,” students practice applying economic measurement to real-world data and develop more general data literacy. The author proposes a series of exercises starting with stylized 10-household economies, proceeding to nationally representative cross-sectional surveys using MS Excel or Google Spreadsheets, and culminating in students applying their acquired data literacy to a team project. The data sources are easily tailored to alternative household surveys in low- and middle-income countries that include the required variables. Students learn data literacy through recognizing the properties of rectangular data, visualizing data appropriately, and creating aggregate economic measures.

Suggested Citation

  • Simon D. Halliday, 2019. "Data literacy in economic development," The Journal of Economic Education, Taylor & Francis Journals, vol. 50(3), pages 284-298, July.
    • Handle: RePEc:taf:jeduce:v:50:y:2019:i:3:p:284-298
    DOI: 10.1080/00220485.2019.1618762
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    Cited by:

    1. Johnson, Marianne & Meder, Martin E., 2024. "Twenty-three years of teaching economics with technology," International Review of Economics Education, Elsevier, vol. 45(C).
    2. Mendez-Carbajo, Diego & Dellachiesa, Alejandro, 2023. "Choice of data visualization tool: FRED or spreadsheets?," International Review of Economics Education, Elsevier, vol. 44(C).

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