Strategic Bias Shifting: Herding as a Behaviorally Rational Response to Regret Aversion
Author(s) -
Jennifer Arlen,
Stephan Tontrup
Publication year - 2015
Publication title -
the journal of legal analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.797
H-Index - 11
eISSN - 2161-7201
pISSN - 1946-5319
DOI - 10.1093/jla/lav014
Subject(s) - regret , herding , status quo bias , microeconomics , loss aversion , economics , status quo , welfare , business , computer science , machine learning , market economy , forestry , geography
In this article, we show experimentally that individuals can adapt their decision making to social environments, like markets, and respond strategically to biases, such as regret aversion. We find they can employ herding as a behaviorally rational strategy to improve their expected outcomes and shift anticipated regret when regret would otherwise bias them towards a suboptimal status quo. Herding can improve decision making when people observe the choices of professionals and businesses, who are less likely to be biased by regret. Focusing on others’ choices can allow decision makers to shift their reference point, and their bias, to favor their optimal choice. We find that decision makers exploit this process to shift their bias strategically. They seek information when their reference point is not optimal, but block it otherwise. They also strategically select among different types of decision makers and focus on those that made the better decision. Our research suggests that decision makers employ strategies to reduce the welfare effects of biases in certain domains. Policy responses may support private ordering by seeking to complement, rather than substitute for, these strategies.
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