Data Science: A Primer for Economists

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.

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Year of publication:	2020
Authors:	Gomez-Ruano, Gerardo

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Type of publication:	Book / Working Paper
Language:	English
Notes:	Gomez-Ruano, Gerardo (2020): Data Science: A Primer for Economists.
Classification:	A12 - Relation of Economics to Other Disciplines ; C01 - Econometrics ; C13 - Estimation ; C14 - Semiparametric and Nonparametric Methods ; C45 - Neural Networks and Related Topics ; c55 ; C87 - Econometric Software ; C88 - Other Computer Software ; C99 - Design of Experiments. Other ; J24 - Human Capital; Skills; Occupational Choice; Labor Productivity ; O31 - Innovation and Invention: Processes and Incentives ; Y20 - Introductory Material
Source:	BASE

Persistent link: https://www.econbiz.de/10015218399