Applied Econometrics
Applied Econometrics
Applied Econometrics Introduction
Outline FEM11090-12 Applied Econometrics
Nalan Basturk
Erasmus University Rotterdam Econometric Institute basturk@ese.eur.nl http://people.few.eur.nl/basturk/
Introduction Course Introduction Course Organization Motivation Introduction Today Regression Linear Regression Ordinary Least Squares Linear regression model Gauss-Markov conditions and the properties of OLS estimators Example: individual wages Goodness-of-fit
1 / 42 2 / 42
Lecture 1, 3 September 2013
Applied Econometrics Introduction Course Introduction
Applied Econometrics Introduction Course Introduction
About Me
Nalan Basturk
Assistant Professor Econometric Institute Room H11-12 basturk@ese.eur.nl PhD in Econometrics from Erasmus University Rotterdam, Tinbergen Institute Research area: Computational econometrics, Bayesian econometrics, Mixture models Office Hours: to be announced on blackboard
Francine Gresnigt PhD candidate at Tinbergen Institute
Role:
gresnigt@ese.eur.nl
assignments and support (teaching material, extra lectures)
3 / 42
4 / 42
Applied Econometrics Introduction Course Introduction
Applied Econometrics Introduction Course Introduction
Course Description
This course provides a guide to modern econometrics. The course emphasizes the practical application of econometrics in empirical economic research. Topics: Review of regression methods
Course Description
The course focuses on applications
Understand all examples covered in lectures, specified book sections and in assignments Do not just provide answers to assignments but think about why a specific method is used In all examples, interpreting the results is very important Technicalities: Learn the underlying assumptions, strong/weak points of introduced methods. Having an idea of these is crucial for applying these methods.
Maximum likelihood Causality, endogeneity, instrumental
Applied Econometrics Introduction
Outline FEM11090-12 Applied Econometrics
Nalan Basturk
Erasmus University Rotterdam Econometric Institute basturk@ese.eur.nl http://people.few.eur.nl/basturk/
Introduction Course Introduction Course Organization Motivation Introduction Today Regression Linear Regression Ordinary Least Squares Linear regression model Gauss-Markov conditions and the properties of OLS estimators Example: individual wages Goodness-of-fit
1 / 42 2 / 42
Lecture 1, 3 September 2013
Applied Econometrics Introduction Course Introduction
Applied Econometrics Introduction Course Introduction
About Me
Nalan Basturk
Assistant Professor Econometric Institute Room H11-12 basturk@ese.eur.nl PhD in Econometrics from Erasmus University Rotterdam, Tinbergen Institute Research area: Computational econometrics, Bayesian econometrics, Mixture models Office Hours: to be announced on blackboard
Francine Gresnigt PhD candidate at Tinbergen Institute
Role:
gresnigt@ese.eur.nl
assignments and support (teaching material, extra lectures)
3 / 42
4 / 42
Applied Econometrics Introduction Course Introduction
Applied Econometrics Introduction Course Introduction
Course Description
This course provides a guide to modern econometrics. The course emphasizes the practical application of econometrics in empirical economic research. Topics: Review of regression methods
Course Description
The course focuses on applications
Understand all examples covered in lectures, specified book sections and in assignments Do not just provide answers to assignments but think about why a specific method is used In all examples, interpreting the results is very important Technicalities: Learn the underlying assumptions, strong/weak points of introduced methods. Having an idea of these is crucial for applying these methods.
Maximum likelihood Causality, endogeneity, instrumental