| 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.
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