Dokuz Eylül University Information Package / Courses Catalog

Description of Individual Course Units

Course Unit Code	Course Unit Title	Type Of Course	D	U	L	ECTS
UEC 4219	PANEL DATA ECONOMETRICS	ELECTIVE	3	0	0	5

Offered By

ECONOMICS (UOLP-SUNY ALBANY)

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ERDOST TORUN

Offered to

ECONOMICS (UOLP-SUNY ALBANY)

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

1	Be able to collect raw data related to micro economic topics, and make them ready for statistical and econometric analysis.
2	Demonstrate understanding of building econometric models that describe the data generating process behind data.
3	Identify problems with existing econometric models so that the learner could employ appropriate econometric tools to solve the problem.
4	Be able to interpret the estimation results so that the learner can draw implications from the results.
5	Demonstrate engaging an independent empirical research in order to prepare a tem project.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

UEC 3001 - ECONOMETRICS

Recomended Optional Programme Components

None

Course Contents

Week	Subject	Description
1	Math and Statistics Review
2	The one-way error component regression model
3	The two-way error component regression model
4	Heteroskedasticity and serial correlation in the error component model
5	Seemingly unrelated regressions with error components
6	Simultaneous equations with error components
7	Dynamic panel data models
8	Dynamic panel data models
9	Unbalanced panel data models
10	Unbalanced panel data models
11	Unbalanced panel data models
12	Limited dependent variables and panel data

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
3. Term Project

Assessment Methods

SORTING NUMBER	SHORT CODE	LONG CODE	FORMULA
1	MT	Midterm
2	TP	TermProject
3	FN	Final
4	FCG	FINAL COURSE GRADE	MT * 0.30 +TP * 0.30 + FN * 0.40
5	RST	RESIT
6	FCGR	FINAL COURSE GRADE (RESIT)	MT * 0.30 +TP * 0.30 + RST * 0.40

*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

1.Midterm
2.Final
3.Term Project

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

1. Attending at least 70 percent of lectures is mandatory.
2. Plagiarism of any type will result in disciplinary action.

Contact Details for the Lecturer(s)

To be announced.

Office Hours