About this resource

    Type of resources
    Module
    Education level(s)
    Graduate / Professional
    Primary user(s)
    student, teacher
    Subject area(s)
    Computer Science, Information Science, Measurement and Data, Economics
    Language(s)
    English
    Cluster
    Transparency and Reproducibility in Computation and Analysis, FAIR Data and Materials
    Last updated
    1 January 2020

    Economics Lesson with Stata

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    Level Graduate / Professional · For student, teacher · Language English

    Abstract

    A Data Carpentry curriculum for Economics is being developed by Dr. Miklos Koren at Central European University. These materials are being piloted locally. Development for these lessons has been supported by a grant from the Sloan Foundation.

    Keywords Analysis · Data · Education · Open Scholarship Tools and Technologies · Reproducibility · Research Data Management Tools · Researchers