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Data Science: A Primer for Economists

Author

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  • Gomez-Ruano, Gerardo

Abstract

The last years have seen an explosion in the demand for data science skills. In this paper, I introduce the reader to the term, point out the technological jumps that allowed the rise of its methods, and give an overview of the most common ones. I close by pointing out the strengths and weaknesses of the corresponding tools as well as their complementarities with economic analysis.

Suggested Citation

  • Gomez-Ruano, Gerardo, 2020. "Data Science: A Primer for Economists," MPRA Paper 102928, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:102928
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    File URL: https://mpra.ub.uni-muenchen.de/102928/1/MPRA_paper_102928.pdf
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    More about this item

    Keywords

    Data Science; Statistics; Quantitative Methods; Labor Market; Technological Change; Numerical Methods; Econometric Methods;
    All these keywords.

    JEL classification:

    • A12 - General Economics and Teaching - - General Economics - - - Relation of Economics to Other Disciplines
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • C99 - Mathematical and Quantitative Methods - - Design of Experiments - - - Other
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • Y20 - Miscellaneous Categories - - Introductions and Prefaces - - - Introductions and Prefaces

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