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Population-Dependent Costs of Detecting Trustworthiness - An Indirect Evolutionary Analysis -

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Abstract

If the (un)trustworthy are rare, people will talk about them, making their detection more reliable and / or less costly. When, however, both types appear in large numbers, detecting (un)trustworthiness will be considerably more difficult and possibly too costly. Based on Güth and Kliemt (2000) we analyze how the composition of a population of trustworthy, resp. untrustworthy individuals evolves if the cost and reliability of type detection depend on the population composition.

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