Universität zu Köln

Hausladen, Carina Ines ORCID: 0000-0003-4397-2339 (2020). Behavioral Economics - Enhanced: Machine Learning and Decision Making. PhD thesis, Universität zu Köln.

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Abstract

In this thesis, I investigate decision-making in the fields of behavioral economics, experimental economics, and law and economics. The research questions I ask are: Can we nudge people towards being more honest? Can we use language to find out who lies? Which factors influence a judge’s decision, and how do people cooperate? Specifically, I investigate contributions in a public goods game, (dis-)honest decision-making in a die-in-the-cup and tax compliance game. Furthermore, I investigate the bounds of rational decision-making in the context of the law. To answer the posed questions, I apply – alongside traditional econometrics – machine learning methods: I use natural language classification to predict decisions based on text data. Furthermore, I use time-series clustering to reduce complexity and thereby enable theory building and interpretation.

Item Type:	Thesis (PhD thesis)
Creators:	Creators Email ORCID ORCID Put Code Hausladen, Carina Ines carina.hausladen@gess.ethz.ch https://orcid.org/0000-0003-4397-2339 UNSPECIFIED
Contributors:	Contribution Name Email Author Schubert, Marcel UNSPECIFIED Author Engel, Christoph UNSPECIFIED Author Fochmann, Martin UNSPECIFIED Author Ash, Elliott UNSPECIFIED Author Mohr, Peter UNSPECIFIED Author Nikolaychuk, Olexandr UNSPECIFIED
URN:	urn:nbn:de:hbz:38-122314
Date:	5 October 2020
Language:	English
Faculty:	Faculty of Management, Economy and Social Sciences
Divisions:	Ehemalige Fakultäten, Institute, Seminare > Faculty of Management, Economy and Social Sciences
Subjects:	Data processing Computer science Social sciences Economics Law
Uncontrolled Keywords:	Keywords Language Behavioral Economics English Experimental Economics English Machine Learning English Natural Language Processing English Empirical Legal Studies English
Date of oral exam:	5 October 2020
Referee:	Name Academic Title Fochmann, Martin Prof. Dr. Engel, Christoph Prof. Dr. Proksch, Sven-Oliver Prof. Dr.
Funders:	Center for Social and Economic Behavior (C-SEB), University of Cologne, Max-Planck Institute for Research on Collective Goods, Bonn
Projects:	Color Me Honest! Time Pressure and (Dis-)Honest Behaviour, Predicting (Dis-)Honesty: Leveraging Text Classification for Behavioral Experimental Research, Charting the Type Space: The Case of Linear Public Good Games, Text Classification of Ideological Direction in Judicial Opinions
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/12231