At the end of this course, the students; 1) Formulate the econometric theory underlying simple and multiple regression models. 2) Interpret different econometric models and their estimated parameters. 3) Test hypotheses about the parameters of the econometric model. 4) Use a software package to perform econometric analysis.
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
ECO245 and ECO248
COURSE DEFINITION
This course provides an introduction to econometric theory. Econometric issues such as prediction problem, hypothesis testing, confidence intervals, functional forms are discussed.
COURSE CONTENTS
WEEK
TOPICS
1st Week
The Nature of Regression Analysis and Two-Variable Regression Analysis: Some Basic Ideas
2nd Week
Two-Variable Regression Model: The Problem of Estimation
3rd Week
Two-Variable Regression Model: The Problem of Estimation Continued
4th Week
Normality Assumption
5th Week
Two-Variable Regression: Interval Estimation and Hypothesis Testing
6th Week
Two-Variable Regression: Interval Estimation and Hypothesis Testing Cont. and Extensions of the Two-Variable Linear Regression Model
7th Week
Extensions of the Two-Variable Linear Regression Model Continued
8th Week
Midterm
9th Week
Multiple Regression Analysis: The Problem of Estimation
10th Week
Multiple Regression Analysis: The Problem of Inference
11th Week
Multiple Regression Analysis: The Problem of Inference Continued
12th Week
Other Types of Tests
13th Week
Dummy Variable Regression Model
14th Week
Dummy Variable Regression Model Continued
RECOMENDED OR REQUIRED READING
Damodar N. Gujarati and Dawn C. Porter, Basic Econometrics, 5th Edition. McGraw-Hill/Irwin. Jeffrey M. Wooldridge, Introductory Econometrics: Modern Approach, 5th Edition. South-Western, Cengage Learning. Lee C. Adkins and R. Carter Hill, Using Stata for Principles of Econometrics, 4th Edition. John Wiley & Sons, Inc. R. Carter Hill, William E. Griffiths and Guay C. Lim, Principles of Econometrics, 4th Edition. John Wiley & Sons, Inc.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
Lecture,Discussion,Problem Solving
ASSESSMENT METHODS AND CRITERIA
Quantity
Percentage(%)
Mid-term
1
40
Quiz
2
15
Total(%)
55
Contribution of In-term Studies to Overall Grade(%)
55
Contribution of Final Examination to Overall Grade(%)
45
Total(%)
100
ECTS WORKLOAD
Activities
Number
Hours
Workload
Midterm exam
1
1,5
1,5
Preparation for Quiz
2
10
20
Individual or group work
14
3
42
Preparation for Final exam
1
25
25
Course hours
14
3
42
Preparation for Midterm exam
1
20
20
Laboratory (including preparation)
0
0
0
Final exam
1
1,5
1,5
Homework
0
0
0
Total Workload
152
Total Workload / 30
5,06
ECTS Credits of the Course
5
LANGUAGE OF INSTRUCTION
English
WORK PLACEMENT(S)
No
KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)