From CEOs confronting competition to children playing board games, our professional and personal lives are full of dynamic decisions. Naturally, while playing the role of a decision-maker, people differ. To comprehend and analyze how they differ, first it was necessary to construct a profiling method that classified dynamic decision-makers.

Developing such a method was the main objective of this article “Profiling Dynamic Decision-Makers.” The authors equated dynamic decision-making with backward inducting. They relied on response times to construct the profiles. Their method has both descriptive power and predictive power: a subject’s profile resembles her reasoning process and forecasts the likelihood of her correctly backward inducting. To test the proposed profiling method, the authors used data generated by 22 different finite dynamic scenarios from the mobile app Blues and Reds. Their sample consisted of 35,826 observations from 6,463 subjects located in 141 countries. They constructed the profiles of their subjects, and, in a variety of exercises supported by an array of robustness checks, they successfully establish the predictive power of their profiling method.

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Grabiszewski K, Horenstein A (2022) Profiling dynamic decision-makers. PLoS ONE 17(4): e0266366. https://doi.org/10.1371/journal.pone.0266366