Tobias Gesche
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My research is in applied microeconomics and behavioural economics, in particular in how we communicate and use digital information technologies. I use theoretical approaches as well as data from the lab and the field. 

RESEARCH PAPERS
Honesty in the Digital Age 
Online experiment which shows that  digital communication channels increase lying and that liars select into such channels.
​with Alain Cohn and Michel Maréchal; accepted by Management Science.
Reference Price Shifts and Customer Antagonism: Evidence from Reviews for Online Auctions
Data from a large-scale online auction which show that ex-post reference point shifts lead to negative feedback for auctions.
single-authored; revision requested by Journal of Economics & Management Strategy
De-biasing Strategic Communication 
Theoretical work which shows that disclosing senders' conflict of interests  helps rational receivers but hurts naive ones.
single-authored; revision requested (2nd round) by Games and Economic Behavior

Nudging Enforcers: How Norm Perceptions and Motives for Lying Shape Sanctions 
Two experiments investigating how providing social information and perceived social norms affect punishment of liars.
​with  Eugen Dimant; revision requested by ​Journal of Public Economics
Home-Bias in Referee Decisions: Evidence from “Ghost Matches”during the COVID19-Pandemic
Uses German soccer data to show that in recent games without audience a previously existent bias of referees for the home teams disappeared.
with Marek Endrich; published in Economics Letters (open access). Online appendix here.
Does the absence of human sellers bias bidding behavior in auction experiments?
​Theory of (anti-)social preferences in second-price auctions and experiment which checks whether spiteful bidding is affected by human sellers.​​
with Björn Bartling and Nick Netzer; published in Journal of the Economic Science Association. Free version here, online appendix here.
Persistent Bias in Advice-Giving
Experiment and theory showing that removing incentives to bias advice do not restore impartial advice.
​with  Zhuoqiong (Charlie) Chen .   Coverage here and here.

In progress:
Human Bias in Algorithmic Choice

Pay to Quit
with Nathan Atkinson, Chiara N. Focacci, A. Stremitzer, and Ian Ayres.

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  • Home
  • RESEARCH
  • BIO
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