GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
ECONOMETRICS MODELS/İST-431
Course Title: ECONOMETRICS MODELS
Credits 3 ECTS 5
Semester 7 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  TURKISH
 -- NAME OF LECTURER(S)
  Asist.Prof. Filiz KARDİYEN
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/fyuva
 -- EMAIL(S) OF LECTURER(S)
  fyuva@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Tohavebasiceconometricsknowledgeandculture Todevelopability of modellingeconomicevents
Tohaveability of interpretatingtheresults of economicandstatisticalanalysis
Tohaveability of analyzingandresulting an econometric problem orproject
Tohaveabilty of analyzingandevaluatingsimilarproblems in otherdisciplines





 -- MODE OF DELIVERY
  Themode of delivery is facetoface
 -- PREREQUISITES AND CO-REQUISITES
  There is noprerequisiteorco-requisite
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  Regression Analysis
 --COURSE CONTENT
1. Week  Definition of Econometrics, methodology of econometrics, definition of econometric model, examples, Structure of econometricdata, types of econometric
2. Week  Simple regressionanalysis, parameterestimation, futures of estimators
3. Week  Extensions of thetwovariablelinearRegressionModels
4. Week  Extensions of thetwovariablelinearRegressionModels
5. Week  Multipleregressionanalysis, parameterestimation, futures of estimators
6. Week  Heteroscadasticity Problem
7. Week  Midterm
8. Week  Multicolinearity problem
9. Week   Autocorrelaton problem
10. Week  Presentation of theprojects
11. Week  Presentation of theprojects
12. Week  DummyVariableRegressionModels
13. Week  DummyVariableRegressionModels
14. Week  QualitativeResponseRegressionModels
15. Week  QualitativeResponseRegressionModels
16. Week  Final exam
 -- RECOMMENDED OR REQUIRED READING
   1. Damodar N. G. (Çev. Ü. Şenesen, G. G. Şenesen), 1999, Temel Ekonometri, Literatür Yayınları. 2. Kutlar A., Uygulamalı Ekonometri, 2009, Nobel Yayı
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question&Answer, Demonstration, Drill - Practise, Project
 -- WORK PLACEMENT(S)
  Not Applicable
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
20
 Assignment
4
20
 Exercises
0
0
 Projects
1
30
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
70
 Contribution of Final Examination to Overall Grade  
30
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
3
42
 Practising Hours of Course Per Week
0
 Reading
0
 Searching in Internet and Library
4
3
12
 Designing and Applying Materials
0
 Preparing Reports
4
3
12
 Preparing Presentation
3
2
6
 Presentation
3
3
9
 Mid-Term and Studying for Mid-Term
4
3
12
 Final and Studying for Final
5
4
20
 Other
0
 TOTAL WORKLOAD: 
113
 TOTAL WORKLOAD / 25: 
4.52
 ECTS: 
5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
11. The statistical textbooks which include latest information about statistics, equipment and other resources supported by scientific approach on undergraduate level have theoretical and practical knowledge.X
22. Statisticians by using knowledge and skills acquired at bachelor degree level model, analyze, and interpret datasets.X
33. Statisticians identify and analyze the problems with current developments in statistic and also develop solutions based upon researches and proofs.X
44. Statisticians apply theoretical and practical knowledge acquired in Statistics at bachelor degree level to the current problems.X
55. Statisticians have the ability to use computer software and computing technology at the certain level required by statistics field.X
66. Statisticians take responsibility at disciplinary and interdisciplinary studies as an individual or a team member.X
77. Statisticians must have knowledge and ability to follow development in the field of Statistics, and must develop life long-learning attitudes.X
88. By using a foreign language, statistician can keep track of every statistical information, and communicate with colleagues.X
99. Applying the statistical knowledge in the professional sense, statistician has social, scientific, and ethical values.X
1010. A statistician must have the ability to social sensitivity and socialization.X
1111. During the process of inference, a statistician uses time efficiently with the analytical thinking ability.X