Lectures in MOOC Introduction to Discrete Choice Models

Untitled MOOC: Introduction to Discrete Choice Models

Model Specification: The Error Term MOOC: Introduction to Discrete Choice Models

Delves into the binary choice model, error term specification, and Extreme Value distribution properties.

Ingredients of choice theory MOOC: Introduction to Discrete Choice Models

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

Likelihood Ratio Test MOOC: Introduction to Discrete Choice Models

Covers the Likelihood Ratio Test in choice models, comparing unrestricted and restricted models through benchmarking and testing different model specifications.

Untitled MOOC: Introduction to Discrete Choice Models

Microeconomic Consumer Theory MOOC: Introduction to Discrete Choice Models

Explores microeconomic consumer theory, utility maximization, optimization problems, and decision-making models.

Modeling Choice Behavior MOOC: Introduction to Discrete Choice Models

Explores the significance of modeling choice behavior in transportation, marketing, health, and energy, emphasizing the need for quantitative and operational models.

Specification of the deterministic part MOOC: Introduction to Discrete Choice Models

Introduces the specification of the deterministic part in choice models, focusing on quantitative attributes and modeling heterogeneity.

Specification of the deterministic part MOOC: Introduction to Discrete Choice Models

Covers the specification of the deterministic part in choice models.

Untitled MOOC: Introduction to Discrete Choice Models

Specification Testing MOOC: Introduction to Discrete Choice Models

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

Behavior Modeling: Simple Example MOOC: Introduction to Discrete Choice Models

Introduces behavior modeling through a simple example, focusing on analyzing the market for electric cars.

Statistical Estimation: Properties and Distributions MOOC: Introduction to Discrete Choice Models

Explores statistical parameter estimation, sample accuracy, and Bernoulli variables' properties.

Untitled MOOC: Introduction to Discrete Choice Models

Heteroscedasticity: Modeling the Utility Function MOOC: Introduction to Discrete Choice Models

Explores heteroscedasticity in nonlinear specifications and the modeling of scale parameters.

Revenue Maximization MOOC: Introduction to Discrete Choice Models

Delves into revenue maximization through pricing strategies and customer behavior analysis to optimize revenues effectively.

Specification of the deterministic part MOOC: Introduction to Discrete Choice Models

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

Testing t-tests MOOC: Introduction to Discrete Choice Models

Introduces t-tests, focusing on hypothesis testing and comparing coefficients using the t-distribution.

Non nested hypotheses MOOC: Introduction to Discrete Choice Models

Covers the comparison of restricted and unrestricted choice models using the likelihood ratio test and the Cox test.

Untitled MOOC: Introduction to Discrete Choice Models