Data Science: A Primer for Economists
MPRA Paper from University Library of Munich, Germany
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.
Keywords: Data Science; Statistics; Quantitative Methods; Labor Market; Technological Change; Numerical Methods; Econometric Methods (search for similar items in EconPapers)
JEL-codes: A12 C01 C13 C14 C45 C55 C87 C88 C99 J24 O31 Y20 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ecm and nep-ore
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:102928
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