COURSE UNIT TITLE

: ECONOMETRIC METHODS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IST 3134 ECONOMETRIC METHODS ELECTIVE 3 0 0 5

Offered By

Statistics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR ALI RIZA FIRUZAN

Offered to

Statistics
Statistics(Evening)

Course Objective

This course aims to analyze economic facts by relating them to suitable inference methods. Besides, it is aimed to estimate economic relationships, to test economic theories and to evaluate and implement government and business policies.

Learning Outcomes of the Course Unit

1   Describing economic models (Microeconomic, Sectorial, Macroeconomic)
2   Proving the accuracy of theories of economics
3   Formulating economic models
4   Predicting with the help of statistics to the existing economic relations in real life
5   Understanding the difference between the economic and econometric models

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Definition, Scope and Parts of Econometrics
2 Econometric Research Method
3 Correlation Theory
4 Least Squares Method Simple Linear Regression Model
5 Calculation of elasticity by Estimated Regression Line
6 Test significance of the estimates
7 Properties of Least Squares Method
8 Similarities between econometrics and statistics
9 Second order tests the assumptions of linear regression model
10 Randomness, zero mean, constant variance and normality assumptions of the error term u
11 Sequential Dependency
12 Multiple Linearity
13 Autocorrelation
14 Heteroscedasticity

Recomended or Required Reading

Textbook(s):
Damodar N. Gujarati, Temel Ekonometri, 1. Baskı, Mc Graw Hill, 1999.
Supplementary Book(s):
Prof. Dr. Şahin Akkaya ve Prof. Dr. M. Vedat Pazarlıoğlu, Ekonometri 1, 4. Baskı, Anadolu Matbaacılık, 2000.

Planned Learning Activities and Teaching Methods

Lecture, homework assignments, problem solving.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FINS FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + ASG * 0.20 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.20 + RST * 0.50


Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of exams and homeworks.

Language of Instruction

Turkish

Course Policies and Rules

Student responsibilities:
Students will come to the class in time. Attending the 70% of the classes are mandatory.

Contact Details for the Lecturer(s)

DEU Fen Fakültesi Istatistik Bölümü
e-mail: s.alpaykut@deu.edu.tr
Tel: 0232 301 85 56
e-mail: aliriza.firuzan@deu.edu.tr
Tel: 0232 301 85 55
e-mail: senem.sahan@deu.edu.tr
Tel: 0232 301 86 03

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparations before/after weekly lectures 12 2 24
Preparation for midterm exam 0 0 0
Preparation for final exam 1 30 30
Preparing assignments 5 5 25
Final 1 1 1
Midterm 0 0 0
TOTAL WORKLOAD (hours) 119

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14
LO.15355255445
LO.25554444455
LO.3135554335
LO.45233535522
LO.53333

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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