Sumários
Lecture 6
27 Outubro 2020, 18:00 • Paulo Parente
Inference and Prediction in the Linear Regression Model
∙ Hypothesis testing in the Classical Regression Model
- Multiple restrictions
* The F-statistic
∙ Prediction
∙ Random Regressors under the normality assumption
Exercise sheet 3: Exercises 1 and 2.
Lecture 5
20 Outubro 2020, 18:00 • Paulo Parente
Exercise sheet 2: Exercise 6
Inference and Prediction in the Linear Regression Model
∙ Measures of goodness of fit
∙ Multivariate normal
∙ Hypothesis testing in the Classical Regression Model
- Estimation of the variance of the OLS estimator
- Single restriction hypothesis
Lecture 4
13 Outubro 2020, 18:00 • Paulo Parente
The Multiple Regression Model
∙ Regression with random regressors
∙ Partitioned Linear Model
Exercise Sheet 2: Exercises 1, 2, 3, 4, 5.
Lecture 3
29 Setembro 2020, 18:00 • Paulo Parente
The Multiple Regression Model
∙ Multiple Regression Analysis
∙ The Classical Linear Regression Model
Lecture 2
22 Setembro 2020, 18:00 • Paulo Parente
Exercise Sheet 1: Exercises 1, 2, 3, 4, 5, 6, 7 and 8.
The Nature of Econometrics and Economic Data
∙ Major uses of Econometrics
∙ Basic Ingredients of an empirical project
∙ Formulate a model (example)
∙ The Question of Causality
∙ Misspecification Testing
∙ Types of Data
The Multiple Regression Model
∙ The regression model in scalar form
∙ Motivation for the Ordinary Least Squares estimator
∙ Estimation Procedure