Alexandros Karakostas, Giles Morgan, Daniel John Zizzo
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引用次数: 0
Abstract
We report the results of an experiment on how individual risk taking clusters together when subjects are informed of peers' previous risk taking decisions. Subjects are asked how much of their endowment they wish to allocate in a lottery in which there is a 50% chance the amount they invest will be tripled and a 50% chance their investment will be lost. We use a 2 × 2 factorial design varying: (i) whether the subjects initially observed high or low investment social anchors, (ii) whether information about the investment decisions of other subjects in their social group is provided. We find strong evidence that individuals' risk taking decisions are malleable to that of their peers, which in turn leads to social clustering of risk taking. Social anchors shape initial risk taking, with mean investment then converging to a high level across treatments.
Supplementary information: The online version contains supplementary material available at 10.1007/s11238-023-09927-x.
期刊介绍：
The field of decision has been investigated from many sides. However, research programs relevant to decision making in psychology, management science, economics, the theory of games, statistics, operations research, artificial intelligence, cognitive science and analytical philosophy have remained separate. Theory and Decision is devoted to all aspects of decision making belonging to such programs, but addresses also possible cross-fertilizations between these disciplines which would represent effective advances in knowledge. The purpose of the journal is to let the engineering of choice gradually emerge both for individual and for collective decision making. Formalized treatments will be favoured, to the extent that they provide new insights into the issues raised and an appropriate modeling of the situation considered. Due to its growing importance, expermentation in decision making as well as its links to the cognitive sciences will be granted special attention by Theory and Decision.
Of particular interest are: Preference and belief modeling,
Experimental decision making under risk or under uncertainty,
Decision analysis, multicriteria decision modeling,
Game theory, negotiation theory, collective decision making, social choice,
Rationality, cognitive processes and interactive decision making,
Methodology of the decision sciences. Applications to various problems in management and organization science, economics and finance, computer-supported decision schemes, will be welcome as long as they bear on sufficiently general cases. Analysis of actual decision making processes are also relevant topics for the journal, whether pertaining to individual, collective or negotiatory approaches; to private decisions or public policies; to operations or to strategic choices.
Officially cited as: Theory Decis
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