Emotional choice theory

Related lectures (32)

Page 3 of 4

Explores choice models with latent variables and their estimation process based on likelihood integration.

Explores Stated Preferences (SP) methods, choice models, and experimental design for predicting individual behavior and market demand.

Introduces behavior modeling through a simple example, focusing on choice modeling components and the analysis of the electric car market.

Covers microsimulation and aggregation techniques to obtain market shares.

Covers microeconomic consumer theory, choice models, utility maximization, and demand functions.

Covers the derivation of the logit model for choice with multiple alternatives and the challenges in generating choice sets.

Explores choice models with latent variables, including indirect measurements and psychometric indicators.

Covers forecasting aggregation in choice models and the calculation of aggregate market shares.

Covers classical hypothesis testing, specification testing, and errors in hypothesis testing in choice models.

Covers specification testing in choice models, highlighting the impact of errors.