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Vital Anderhub

Researcher at Humboldt University of Berlin

Publications -  24
Citations -  755

Vital Anderhub is an academic researcher from Humboldt University of Berlin. The author has contributed to research in topics: Principal–agent problem & Incentive. The author has an hindex of 11, co-authored 24 publications receiving 718 citations. Previous affiliations of Vital Anderhub include Humboldt State University.

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On the Interaction of Risk and Time Preferences: An Experimental Study

TL;DR: In this paper, the authors investigate the possible correlation between risk aversion and time preference and show that the negative correlation is independent of the method used to elicit certainty equivalents (willingness to pay versus willingness to accept).
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An experimental study of the repeated trust game with incomplete information

TL;DR: In this paper, the trust game is played repeatedly with repeated games with changing partners, and participants can explicitly rely on mixed strategies which allows testing the qualitative and quantitative aspects of reputation equilibria also at an individual level.
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Efficient Contracting and Fair Play in a Simple Principal-Agent Experiment

TL;DR: In this article, the authors study behavior within a simple principal-agent experiment and find a high degree of incentive-compatible behavior, but also ''fair sharing'' and reciprocity. But the authors do not consider the effect of reciprocity on fair sharing.
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Design and Evaluation of an Economic Experiment via the Internet

TL;DR: In this paper, an economic experiment of individual decision making results obtained over the Internet are compared to results obtained in the laboratory using exactly the same software, and the authors investigate whether Internet experiments are an appropriate alternative to traditional laboratory experiments.
Posted Content

Tax Evasion with Earned Income - An Experimental Study

TL;DR: In this article, a tax evasion experiment consisting of four tax periods, the final two involving an increased tax rate, was conducted, where each participant earns his income by solving intertemporal allocation tasks.