Choice Models: Specification and Heterogeneity

Related lectures (32)

Page 1 of 4

Covers the specification of the deterministic part in choice models.

Explores piecewise linear specifications in choice models and their impact on sensitivity to travel time.

Introduces the piecewise linear specification in choice models, illustrating how sensitivity to travel time varies.

Covers the theoretical foundations of choice theory and its key components for decision making.

Covers the theoretical foundations of choice theory, decision makers, alternatives, attributes, decision rules, utility, and behavioral assumptions.

Explores the optimal betting strategy in a dynamic programming gambling problem, emphasizing risk preference impact.

Covers risk-neutral measure, state prices, utility functions, and risk aversion in asset pricing.

Explores expected utility theory, risk-aversion, utility functions, and decision-making under uncertainty.

Explores risk aversion, utility functions, and asset pricing theory, including classic models and the Kreps-Porteus-Epstein-Zin utility function.

Explores the dynamic model for panel data analysis and the Markov assumption.