This is a graduate seminar for Ph.D. students interested in judgment and decision making. The first half (taught by Professor Hastie) will review traditional approaches to judgment and decision making including algebraic and statistical modeling, assessments of heuristic judgment and decision habits, and statistical decision theory, with an emphasis on the methods that have been used to reveal the cognitive processes underlying these behaviors. The second half (taught by Professor Wu) will cover decision making under risk and uncertainty. In particular, special attention will be devoted to understanding: (i) the relationship between formal models and the psychological factors and processes the models are attempting to capture; and (ii) the interplay between formal models and empirical evidence.
Admission to the Ph.D. Program or consent of instructor.
- PhD - students only
- No non-Booth Students
Grades will be based on class participation, weekly write-ups, and a final paper. No provisional grades.
- No auditors
- No pass/fail grades
Description and/or course criteria last updated: June 05 2024
