Social choice theory and data science: The beginning of a beautiful friendship

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Abstract

In this note, I advocate the development of a symbiotic relationship between the theoretical world of economic design and that of quantitative data analysis. I illustrate both directions of this symbiosis by looking at how the axiomatic approach of social choice theory can provide foundations for the quantitative methodological choices and, how data science tools can help testing assumptions of formal models. For the former, I focus on the two important stages of any empirical research design: measurement and methods selection. For the latter, I assert that machine learning algorithms can be employed to test assumptions regarding to the nature of individual preferences. The spatial model of electoral competition serves as a workhorse example throughout the paper.
Original languageEnglish
Title of host publicationThe Future of Economic Design
Subtitle of host publicationThe Continuing Development of a Field as Envisioned by Its Researchers
EditorsJean-Franҫois Laslier, Hervé Moulin, M. Remzi Sanver, William S. Zwicker
Place of PublicationSwitzerland
PublisherSpringer International Publishing Switzerland
Pages531-534
Edition1
ISBN (Electronic)9783030180508
ISBN (Print)9783030180492
DOIs
Publication statusPublished - 26 Nov 2019

Publication series

NameStudies in Economic Design
PublisherSpringer International Publishing
ISSN (Electronic)2510-3970

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