Information Package

Master's of Economics without Thesis

ECOZ566

APPLIED ECONOMETRICS

Course Code
ECOZ566
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelMaster's Degree Without Thesis
Year of Study-
Semester-
ECTS10
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. learn quantitative measurement techniques of causality relations between economic variables, applications of LOGIT, PROBIT, TOBIT models, defining econometric models, making predictions and using econometric techniques in economic analysis.
  2. organize and test econometric models, interpret them, and use computer applications.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionThis course deals with advanced econometric modeling methods developed to solve econometric problems that are frequently encountered in the applications of economic analysis with real data.
Course Contents
WEEK TOPICS
1st Week Specifying Models (Macro and Micro)
2nd Week Model Selection
3rd Week One Equation, Simple Regression
4th Week One Equation, Simple Regression
5th Week One Equation, Multiple Regression
6th Week 2 SLS Method
7th Week 3 SLS Method, ML Method
8th Week Midterm
9th Week SUR Method
10th Week LOGIT Method
11th Week PROBIT Method
12th Week TOBIT Method
13th Week Dynamic Models
14th Week Dynamic Models
Recommended or Required ReadingR. Ramanathan, Inroductory Econometrics with Applications, 3rd ed. New York: Dryden Press-Harcourt Brace College Publisher, 1995.
R. Pindyck and D. Rubinfield, Econometric Models and Econometric Forecasts, 3rd ed. New York: McGraw- Hill, 1991.
Planned Learning Activities and Teaching Methods
  • Lecture
  • Discussion
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 40
Quiz 1 10
Total(%) 50
Contribution of In-term Studies to Overall Grade(%) 50
Contribution of Final Examination to Overall Grade(%) 50
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 2 2
Preparation for Quiz 1 55 55
Individual or group work 14 5 70
Preparation for Final exam 1 70 70
Course hours 14 3 42
Preparation for Midterm exam 1 60 60
Laboratory (including preparation)
Final exam 1 2 2
Homework
Total Work Load301
Total Work Load / 30 (h)10.03
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2
K1 X X
K2 X X
K3 X
K4 X
K5 X X
K6 X X
K7 X
K8 X
K9 X
K10