COURSE UNIT TITLE

Offered By

Economics (English)

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR ADNAN KASMAN

Offered to

Economics (English)

Course Objective

This is a course on applied econometrics dealing with 'panel' or 'longitudinal' data sets. Topics to be studied include specification, estimation, and inference in the context of models that include individual (firm, person, etc.) and/or time effects. We will begin with a development of the standard linear regression model, then apply it to panel data settings involving 'fixed' and 'random' effects. The basic model will be extended to dynamic models with recently developed GMM and instrumental variables methods. We will consider numerous applications from the literature, including static and dynamic panel data regression models. The use of computer is an integrated part of the course. No prior knowledge of programming is required. Students are expected to prepare a term project to demonstrate their skills developed in the course.

Learning Outcomes of the Course Unit

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Recomended or Required Reading

1. Badi H. Baltagi Econometrics Analysis of Panel Data 2nd Ed. Wiley
2. Lecture Notes

Planned Learning Activities and Teaching Methods

1. Lectures
2. Class Discussions

Assessment Methods

Further Notes About Assessment Methods

None

Assessment Criteria

1. The learner will use necessary statistical and econometric tools to engage independent research.
2. The learner will clearly recognize the problems with existing econometric models.
3. The learner will build econometric models for estimation purposes.
4. The learner will interpret empirical results.
5. The learner will draw some policy implications from estimation results.

Language of Instruction

English

Course Policies and Rules

It is obligatory to attend at least 70% of the classes.

Contact Details for the Lecturer(s)

adnan.kasman@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes