Sumários
Lecture 3
3 Outubro 2019, 18:00 • Paulo Parente
Binary Choice Models
- · Simple specification tests
- · Goodness of Fit
Multinomial choice models
- · Multinomial Logit
- · Probabilistic Choice Models
Exercise Sheet 2: Exercise 2a),b)
Lecture 2
26 Setembro 2019, 18:00 • Paulo Parente
Exercise Sheet 1 - Exercise 1
Discrete Choice Models
∙ Binary Choice Models
- Linear Probability Model
- Index Models for Binary Response
- Latent variable threshold (LVT) model
- Random utility models
Lecture 1
19 Setembro 2019, 18:00 • Paulo Parente
Maximum Likelihood Estimation
∙ Likelihood function and the ML principle;
∙ Properties of ML estimators;
∙ Proof of the asymptotic normality
∙ Estimators of the information matrix
∙ Regressors
∙ Robust covariance matrix estimation;
∙ Hypothesis testing.