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• W2951481223 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." @default.
• W2951481223 created "2019-06-27" @default.
• W2951481223 creator A5029318301 @default.
• W2951481223 date "2019-06-14" @default.
• W2951481223 modified "2023-10-02" @default.
• W2951481223 title "Data literacy in economic development" @default.
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• W2951481223 doi "https://doi.org/10.1080/00220485.2019.1618762" @default.
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