Universität zu Köln

Schubert, Marcel Henrik (2022). Behavioral Economics & Machine Learning Expanding the Field Through a New Lens. PhD thesis, Universität zu Köln.

Preview

PDF dissertation_final.pdf - Accepted Version Bereitstellung unter der CC-Lizenz: Creative Commons Attribution Non-commercial No Derivatives. Download (5MB) | Preview

Abstract

In this thesis, I investigate central questions in behavioral economics as well as law and economics. I examine well-studied problems through a new methodological lens. The aim is to generate new insights and thus point behavioral scientists to novel analytical tools. To this end, I show how machine learning may be used to build new theories by reducing complexity in experimental economic data. Moreover, I use natural language processing to show how supervised learning can enable the scientific community to expand limited datasets. I also investigate the normative impact of the use of such tools in social science research or decision-making as well as their deficiencies.

Item Type:	Thesis (PhD thesis)
Creators:	Creators Email ORCID ORCID Put Code Schubert, Marcel Henrik mail@marcelhschubert.com UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-548816
Date:	2022
Language:	English
Faculty:	Faculty of Management, Economy and Social Sciences
Divisions:	Externe Einrichtungen
Subjects:	Economics
Uncontrolled Keywords:	Keywords Language Behavioral Economics English Experimental Economics English Machine Learning English Natural Language Processing English Language and Behavior English Law and Economics English Empirical Law English
Date of oral exam:	17 December 2021
Referee:	Name Academic Title Fochmann, Martin Professor Engel, Christoph Professor
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/54881