3 citations · 3 across the 3 of their papers we have counts for
3 papers
Do People Follow AI Advice? Evidence from a Pension Portfolio Choice Experiment
Hongseok Choi, Jeongbin Kim, Matthew Kovach +3
We study how differences in AI-generated financial recommendations are transmitted into individual portfolio choices. In an experiment with 400 employed adults enrolled in workplac…
Can an LLM Learn Preferences from Choice Data?
Jeongbin Kim, Matthew Kovach, Kyu-Min Lee +2
Can large language models (LLMs) learn a decision maker's preferences from observed choices and generate preference-consistent recommendations in new situations? We propose a porta…
Random Utility and Limited Consideration
Victor H. Aguiar, Maria Jose Boccardi, Nail Kashaev +1
The random utility model (RUM, McFadden and Richter, 1990) has been the standard tool to describe the behavior of a population of decision makers. RUM assumes that decision makers…