Information Package / Course Catalogue - Adnan Menderes University

General Information Unit Staff Academic Information Programme Outcomes Course Structure Diagram Contact Information

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Theory	: 0
Prt.	: 0
Credit	: 0
Lab	: 0
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Objectives of the Course

Course Content

Name of Lecturer(s)

Learning Outcomes

1.	To be able to understand the difference between time series and cross-sectional data
2.	To be able to define the purposes of econometrics model
3.	To be able to choose model as reasonable econometrics method
4.	To be able to analysis assumptions of econometrics model
5.	Explains the logic of a statistical test.

Recommended or Required Reading

1.	EKONOMETRİ I ( 2000), Şahin AKKAYA-M.Vedat PAZARLIOĞLU, Anadolu Matbaacılık, İzmir
2.	Ekonometri (2006), Recep TARI, Avcı Ofset, İstanbul

Weekly Detailed Course Contents

Week 1 - Theoretical

Ekonometrinin Amacı, Konusu ve Ekonometrik Bir Araştırmada Takip edilen Aşamalar

Week 2 - Theoretical

Simple Linear Regression Model(Bivariate Regression Model)

Week 3 - Theoretical

Least Square Regression Model and its assumptions

Week 4 - Theoretical

Hypothesis Tests, Regression and Analysis of Variance

Week 5 - Theoretical

Hipotez testleri, Regresyon ve Varyans Analizi

Week 6 - Theoretical

Topics with Bivariate Regression Models

Week 7 - Theoretical

The Other Tests for econometrics models with one equation, selection of models criteria

Week 8 - Intermediate Exam

Mid-term exam

Week 9 - Theoretical

Distribtions for Normality and Normality tests, Multicollineartity, meaning of Multicollineartity, Estimations of Least Square Regression in case Multicollineartity, consequences after Multicollineartity, detected and remove Multicollineartity

Week 10 - Theoretical

Week 11 - Theoretical

Heteroscedasticity, meaning of Heteroscedasticity, Estimations of Least Square Regression in case Heteroscedasticity, consequences after Heteroscedasticity

Week 12 - Theoretical

Detected and remove Heteroscedasticity

Week 13 - Theoretical

Autocorrelation, meaning of Autocorrelation, Estimations of Least Square Regression in case Autocorrelation, consequences after Autocorrelation

Week 14 - Theoretical

Autocorrelation, meaning of Autocorrelation, Estimations of Least Square Regression in case Autocorrelation, consequences after Autocorrelation

Week 15 - Theoretical

Autocorrelation, meaning of Autocorrelation, Estimations of Least Square Regression in case Autocorrelation, consequences after Autocorrelation

Week 16 - Final Exam

Final Exam

Assessment Methods and Criteria

Type of Assessment	Count	Percent
Midterm Examination	1	%40
Final Examination	1	%60

Workload Calculation

Activities	Count	Preparation	Time	Total Work Load (hours)
Lecture - Theory	14	3	3	84
Assignment	2	5	2	14
Individual Work	3	1	1	6
Midterm Examination	1	8	1	9
Final Examination	1	10	2	12
TOTAL WORKLOAD (hours)				125

Contribution of Learning Outcomes to Programme Outcomes

	PÇ-1	PÇ-2	PÇ-3	PÇ-4	PÇ-5	PÇ-6	PÇ-7	PÇ-8	PÇ-9
OÇ-1	3	3	3	3	3	3	3	3	3
OÇ-2	4	4	4	4	4	4	4	4	4
OÇ-3	3	3	3	3	3	3	3	3	3
OÇ-4	4	4	4	4	4	4	4	4	4
OÇ-5	4	4	4	4	4	4	4	4	4

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