1	Course Title:	PANEL DATA ECONOMETRICS
2	Course Code:	EKO4118
3	Type of Course:	Optional
4	Level of Course:	First Cycle
5	Year of Study:	4
6	Semester:	8
7	ECTS Credits Allocated:	5
8	Theoretical (hour/week):	3
9	Practice (hour/week) :	0
10	Laboratory (hour/week) :	0
11	Prerequisites:	No
12	Recommended optional programme components:	None
13	Language:	Turkish
14	Mode of Delivery:	Face to face
15	Course Coordinator:	Prof. Dr. Mehmet Çınar
16	Course Lecturers:
17	Contactinformation of the Course Coordinator:	mcinar@uludag.edu.tr Uludağ Üniversitesi İktisadi ve İdari Bilimler Fakültesi Görükle Kampüsü 16059 Nilüfer / Bursa
18	Website:
19	Objective of the Course:	The main aim of this course is to teach basic econometrics, econometric models, statistical theory and basic economic literatüre and how to use them in real.
20	Contribution of the Course to Professional Development	To be able to study in applied area using these techniques with economic series.

21

Learning Outcomes:

1 To be able to compass economic theory, statistical and econometric analyzes. ; 2 To be able to analyze economic event with qualitative and quantitative methods.; 3 To be able to compare econometric and statistical analyzes with economic hppening; 4 To be able to plan an programme economic events using econometric and statistical methods. ; 5 To be able to follow economic events happens in our country and around the world easily.; 6 To be able to analyzes short-term relations by considering real world relations. ; 7 To be able to search long term economic relations and make inferences. ; 8 To be able to study in applied area using these techniques with economic series. ;

22	Course Content:

Week	Theoretical	Practical
1	Panel data, basic concepts
2	Linear panel data models
3	Classical Model Pooled Least Squares Method
4	Fixed Effects Model
5	Least Squares Method with Fixed Effects Dummy Variables
6	Fixed Effects Within-Group Estimation Method
7	Between group Estimation Method
8	Applications with real ampirical data
9	Random Effects Maximum Likelihood Method
10	Tesadüfi Etkiler Genelleştirilmiş En Küçük Kareler Yöntemi
11	Choices Among Predictors
12	Tests of basic assumptions
13	Resilient estimators in case of deviations from basic assumptions
14	Applications with real ampirical data

23	Textbooks, References and/or Other Materials:	Panel Veri Ekonometrisi: Stata ve EViews Uygulamalı ÇINAR M. Ekin Basım Yayın, Bursa, 2021 Wooldridge, J., Econometric Analysis of Cross-Section and Panel Data, 2nd edition, The MIT Press, 2010 Yerdelen Tatotoğlu, F. (2020), Panel Veri Ekonometrisi: Stata Uygulamalı, Beta, İstanbul
24	Assesment

TERM LEARNING ACTIVITIES	NUMBER	PERCENT
Midterm Exam	1	40
Quiz	0	0
Homeworks, Performances	0	0
Final Exam	1	60
Total	2	100
Contribution of Term (Year) Learning Activities to Success Grade		40
Contribution of Final Exam to Success Grade		60
Total		100
Measurement and Evaluation Techniques Used in the Course	Classical exams are held in midterm and final exams.
Information	This course is evaluated with a relative evaluation system.

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ECTS / WORK LOAD TABLE

Activites	NUMBER	TIME [Hour]	Total WorkLoad [Hour]
Theoretical	14	3	42
Practicals/Labs	0	0	0
Self Study and Preparation	10	4	40
Homeworks, Performances	0	0	0
Projects	1	15	15
Field Studies	0	0	0
Midtermexams	1	20	20
Others	0	0	0
Final Exams	1	30	30
Total WorkLoad			167
Total workload/ 30 hr			4,9
ECTS Credit of the Course			5

26	CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11 PQ12 LO1 4 2 3 4 3 2 5 3 3 4 4 3 LO2 5 4 3 2 3 4 5 3 4 3 5 4 LO3 4 3 4 5 4 5 3 4 4 3 4 4 LO4 5 4 4 4 5 3 5 5 4 3 5 4 LO5 4 5 5 5 4 3 4 4 3 4 5 5 LO6 5 5 5 4 5 4 3 5 3 4 4 5 LO7 3 5 4 4 3 5 5 5 5 4 5 4 LO8 4 5 5 4 4 4 3 5 4 3 4 5

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High