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COURSE UNIT TITLECOURSE UNIT CODESEMESTERTHEORY + PRACTICE (Hour)ECTS
APPLIED ECONOMETRICS ECON566 - 3 + 0 10

TYPE OF COURSE UNITElective Course
LEVEL OF COURSE UNITMaster's Degree With Thesis
YEAR OF STUDY-
SEMESTER-
NUMBER OF ECTS CREDITS ALLOCATED10
NAME OF LECTURER(S)Associate Professor Didem Pekkurnaz
LEARNING OUTCOMES OF THE COURSE UNIT 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
PRE-REQUISITES OF THE COURSENo
RECOMMENDED OPTIONAL PROGRAMME COMPONENTNone
COURSE DEFINITIONThis 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
WEEKTOPICS
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
RECOMENDED 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 METHODSLecture,Discussion
ASSESSMENT METHODS AND CRITERIA
 QuantityPercentage(%)
Mid-term140
Quiz110
Total(%)50
Contribution of In-term Studies to Overall Grade(%)50
Contribution of Final Examination to Overall Grade(%)50
Total(%)100
ECTS WORKLOAD
Activities Number Hours Workload
Midterm exam122
Preparation for Quiz15555
Individual or group work14570
Preparation for Final exam17070
Course hours14342
Preparation for Midterm exam16060
Laboratory (including preparation)
Final exam122
Homework
Total Workload301
Total Workload / 3010,03
ECTS Credits of the Course10
LANGUAGE OF INSTRUCTIONTurkish
WORK PLACEMENT(S)No
  

KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
LO1LO2
K1  X   X
K2  X   X
K3  X  
K4  X  
K5  X   X
K6  X   X
K7  X  
K8  X  
K9  X  
K10