Complexity and Choice
Presented by Jörg Spenkuch (Northwestern University) with Y. Salant
We study two dimensions of complexity that may interfere with individual choice. The first one is object complexity, which corresponds to the difficulty of evaluating any given alternative in the choice set. The second dimension is composition complexity, which increases when suboptimal alternatives become more similar to optimal ones.
We develop a satisficing-with-evaluation-errors theory that incorporates both dimensions and delivers sharp empirical predictions about their effect on choice behavior. We confirm these predictions in a novel data set with information on hundreds of millions of decisions in chess endgames. First, as the object complexity of an optimal (suboptimal) alternative increases, it becomes less (more) likely to be chosen. Second, even highly experienced decision-makers are more likely to make mistakes when choosing from sets with higher composition complexity.
These findings help to shed some of the first light on the effect of complexity on choice behavior outside of the laboratory.
Speaker
Jörg Spenkuch (Northwestern University)
SoDa Labs webinar series
The SoDa Labs webinar series provides a platform for researchers around the world to present work that uses novel and alternative data and/or tools from data science and beyond to answer social science questions.
Event Details
- Date:
- 12 October 2021 at 10:00 am – 11:00 am
- Venue:
- Online
- Categories:
- General; SoDa Labs; SoDa Labs Webinars
Description
Presented by Jörg Spenkuch (Northwestern University) with Y. Salant
We study two dimensions of complexity that may interfere with individual choice. The first one is object complexity, which corresponds to the difficulty of evaluating any given alternative in the choice set. The second dimension is composition complexity, which increases when suboptimal alternatives become more similar to optimal ones.
We develop a satisficing-with-evaluation-errors theory that incorporates both dimensions and delivers sharp empirical predictions about their effect on choice behavior. We confirm these predictions in a novel data set with information on hundreds of millions of decisions in chess endgames. First, as the object complexity of an optimal (suboptimal) alternative increases, it becomes less (more) likely to be chosen. Second, even highly experienced decision-makers are more likely to make mistakes when choosing from sets with higher composition complexity.
These findings help to shed some of the first light on the effect of complexity on choice behavior outside of the laboratory.
Speaker
Jörg Spenkuch (Northwestern University)
SoDa Labs webinar series
The SoDa Labs webinar series provides a platform for researchers around the world to present work that uses novel and alternative data and/or tools from data science and beyond to answer social science questions.
Event Contact
- Name
- SoDaLabs@monash.edu
- Phone
- Organisation