COURSE UNIT TITLE

: INTRODUCTORY ECONOMETRICS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ERA 3401 INTRODUCTORY ECONOMETRICS ELECTIVE 3 0 0 5

Offered By

Econometrics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

Offered to

Econometrics (Evening)
Econometrics

Course Objective

The main objective of the course is to give the student the ability to form an econometric model based on economic theory.

Learning Outcomes of the Course Unit

1   Distinguish the difference between time and cross-section data.
2   Define the purposes of econometric model based on economic theory.
3   Select the model with appropriate econometric method.
4   Analyze the assumptions for the econometric model
5   Draw conclusions based on the econometric model s results
6   Use econometric software to build and interpret a model.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

HAZIRLIK - FOREIGN LANGUAGE PREPARATION CLASS

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Purpose and aim of econometrics, steps of an econometric research
2 Simple linear regression
3 Least squares estimation and assumptions
4 Multiple regression model
5 Hypothesis testing, variance analysis
6 Other issues on simple regression
7 Other tests and model selection criteria for single equation econometric models, normal distribution assumption tests
8 Mid-term
9 Mid-term
10 Multi collinearity and its remedy
11 Heteroscedasticity: concept and discovery
12 Remedy for heteroscedasticity
13 Autocorrelation: concept and discovery
14 Remedy for autocorrelation

Recomended or Required Reading

1. EKONOMETRI I ( 2000), Şahin AKKAYA-M.Vedat PAZARLIOĞLU, Anadolu Matbaacılık, Izmir.
2. Basic Econometrics (1999), Damodar N.GUJARATI,
3. Guide to Econometrics (2006), Peter KENNEDY

Planned Learning Activities and Teaching Methods

This course will be presented using class lectures, class discussions

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 MTEG MIDTERM GRADE MTEG * 1
3 FIN FINAL EXAM
4 FCGR FINAL COURSE GRADE MTEG * 0.40 + FIN * 0.60
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60


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

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 3 36
Preparations before/after weekly lectures 12 3 36
Preparation for midterm exam 1 20 20
Preparation for final exam 1 25 25
Midterm 1 1 1
Final 1 1 1
TOTAL WORKLOAD (hours) 119

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.11
LO.21
LO.31
LO.41
LO.51
LO.61