Essays in experimental economics

Hoffmann, Timo

Essays_in_Experimental_Economics_Timo_Hoffmann.pdf - Published

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URN: urn:nbn:de:bsz:180-madoc-415536
Document Type: Doctoral dissertation
Year of publication: 2016
Place of publication: Mannheim
University: Universität Mannheim
Evaluator: Engelmann, Dirk
Date of oral examination: 22 November 2016
Publication language: English
Institution: School of Law and Economics > VWL, Experimentelle Wirtschaftsforschung (Engelmann 2010-2014)
School of Law and Economics > Graduiertenkolleg VWL/BWL
Außerfakultäre Einrichtungen > Graduate School of Economic and Social Sciences - CDSE (Economics)
Subject: 330 Economics
Classification: JEL: C72, C91, D70, D81, D82, D83, J31,
Subject headings (SWD): Verhaltensökonomie
Keywords (English): Experimental Economics , Beliefs , Rank-order Tournaments , Group Decision Rules , Two-stage voting
Abstract: This dissertation consists of three independent chapters, which analyze different aspects of human behavior. All chapters share the feature that laboratory experiments are used to investigate and describe the behavior of agents. Chapter 1 focuses on a methodological issue of eliciting expectations of players about the likely behavior of their opponent(s) in experiments - the so called beliefs - and investigates the influence of this belief elicitation on observed behavior. Thereby this research touches on the process of belief formation. Chapter 2 analyzes the importance of worker sorting and its interplay with incentive effects for the profitability of rank-order tournaments. More precisely I consider two environments, with and without the possibility of worker sorting, to examine how worker sorting affects the profitability of a tournament for employers. Lastly, chapter 3, which is co-authored with Sander Renes, investigates the role of private information and available mechanisms on choosing group decision rules. This experiment tests several theoretical predictions made in the economic literature regarding the role of participation constrains for choosing efficient group decision rules.

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