Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
İKT3032013201ECONOMETRICS-ICompulsory356
Level of Course Unit
First Cycle
Objectives of the Course
The aim of the course is • to teach the basic econometric methods • to equip students with the knowledge and skills of economic hypotheses tested
Name of Lecturer(s)
Yrd.Doç.Dr.Nedim DİKMEN
Learning Outcomes
1Students completing this course succesfully will be expected to be able to ; able to implement statistical methods on economic issues
2solve problems that reveals the economic and empirical aspects
3able to predict and interpret the economic problems
4able to analyze using a combination of economics, statistics and mathematics
5inference about the economic problems
Mode of Delivery
Formal Education
Prerequisites and co-requisities
Yok
Recommended Optional Programme Components
Week 1 Correlation Analysis Week 2 Simple Regression Analysis Week 3 Simple Regression Equations and Interpretation of Solution Week 4 Multiple Regression Analysis Week 5 Solution and Interpretation of Multiple Regression Equations Week 6 Individual Regression Coefficients Test of Significance Week 7 ANOVA Table and F-Test Week 8 Midterm Week 9 The Coefficient of Determination Week 10 Regression Equations Specification Week 11 Regression Equations Functional Structure Choices Week 12 Dummy Variables Week 13 Interaction Variables Week 14 Trend and Discrete Regressions Week 15 Multiple linear correlation Week 16 Final Exam
Course Contents
• Simple regression models • Multiple regression models • The OLS regressionmodels • The application of the method • The assumptions of OLS method • T-tests • F-tests • Identification and rectification of the problem of multiple connections,specification, identification • Rectification of errors • Application of dummy variables • The implementation of the interaction variables.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Correlation Analysis
2Simple Regression Analysis
3Simple Regression Equations and Interpretation of Solution
4Multiple Regression Analysis
5Solution and Interpretation of Multiple Regression Equations
6Individual Regression Coefficients Test of Significance
7ANOVA Table and F-Test
8Midterm
9The Coefficient of Determination
10Regression Equations Specification
11Regression Equations Functional Structure Choices
12Dummy Variables
13Interaction Variables
14Trend and Discrete Regressions
15Multiple linear correlation
16Final Exam
Recommended or Required Reading
1 Dikmen Nedim, (2009); Ekonometri, Temel Kavramlar ve Uygulamalar, Nobel Yayınları, Ankara. İlave Kaynak 2 Gujarati, D. , 1999, Temel Ekonometri (Çev. : Şenesen, Ü. , Şenesen, Gülay G. ) , İstanbul 3 Köseoğlu, M. , Yamak, R. , 2004, Uygulamalı İstatistik ve Ekonometri, Aksakal Kitabevi, Trabzon
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
SUM0
End Of Term (or Year) Learning ActivitiesQuantityWeight
SUM0
Yarıyıl (Yıl) İçi Etkinlikleri40
Yarıyıl (Yıl) Sonu Etkinlikleri60
SUM100
Language of Instruction
Turkish
Work Placement(s)
Yok
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination111
Final Examination111
Attending Lectures14456
Self Study14570
Individual Study for Homework Problems31030
Individual Study for Mid term Examination11010
Individual Study for Final Examination11313
TOTAL WORKLOAD (hours)181
Contribution of Learning Outcomes to Programme Outcomes
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1
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2
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3
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4
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5
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6
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7
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8
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9
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10
PO
11
PO
12
PO
13
PO
14
LO145545444555444
LO245545444555444
LO345545444555444
LO445545444555444
LO545545444555444
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
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