Spring 2025 Economics GR6494 section 001

COMP MODLS PERCPTN & CHOICE

COMP MODLS PERCPTN & CHOI

Call Number 13015
Day & Time
Location
W 10:10am-12:00pm
To be announced
Points 4
Grading Mode Standard
Approvals Required None
Instructor Michael D Woodford
Type LECTURE
Method of Instruction In-Person
Course Description Prerequisites: ECON GR6211 and ECON GR6212 and ECON GR6215 and ECON GR6216 and ECON GR6410 and ECON GR6411 and ECON GR6412 and ECON GR6493 Models of errors and biases in judgments, in the domains of perception, statistical inference, and decision making. Experimental evidence and theoretical analyses from economics, psychology, computational neuroscience, and computer science will be discussed and compared. Topics treated will include signal detection theory, stochastic choice, diffusion-to- bound models, decision by sampling, probability matching, rational inattention, efficient coding theories, theories of salience or focus- weighted valuations, reference-dependent or context-dependent valuations, and reinforcement learning.
Web Site Vergil
Department Economics
Enrollment 8 students (45 max) as of 11:06AM Tuesday, December 3, 2024
Subject Economics
Number GR6494
Section 001
Division Graduate School of Arts and Sciences
Open To GSAS
Section key 20251ECON6494G001