ECON. AND ADM. SCIENCE
ECONOMICS
Course Name   Applied Econometrics
Semester Course Code Theoretical / Practice time ECTS
8 0601892 3 / 0 5
Course Degree Bachelor's degree
Course Language Turkish
Format of Delivery: Face to Face
Course Coordinator DR. ÖĞR. ÜYESİ SAVAŞ ERDOĞAN
Coordinator e-mail serdogan selcuk.edu.tr
Instructors
DR. ÖĞR. ÜYESİ SAVAŞ ERDOĞAN
Asistant Instructors
Arş. Gör. Mustafa TEK
Course Objectives The main objective of the course is to teach students advanced econometric methods building on their knowledge of the classical regression model and its violations learned in Econometrics.
Basic Sciences Engineering Scinces Social Sciences Educational Sciences Artistic sciences Medical Science Agricultural sciences
40 0 60 0 0 0 0
Course Learning Methods and Techniquies
Lecturing, problem solutions, discussion, individual study.
Week Course Content Resource
1 Introduction Temel Ekonometri, Damodar N. Gujarati ve Dawn Porter, Literatür Ders Kitapları
2 Time Series Models Temel Ekonometri, Damodar N. Gujarati ve Dawn Porter, Literatür Ders Kitapları
3 Time Series Models Temel Ekonometri, Damodar N. Gujarati ve Dawn Porter, Literatür Ders Kitapları
4 Nonstationary Data Temel Ekonometri, Damodar N. Gujarati ve Dawn Porter, Literatür Ders Kitapları
5 Dummy Dependent Variable Techniques Temel Ekonometri, Damodar N. Gujarati ve Dawn Porter, Literatür Ders Kitapları
6 Dummy Dependent Variable Techniques Temel Ekonometri, Damodar N. Gujarati ve Dawn Porter, Literatür Ders Kitapları
7 Simultaneous Equations Temel Ekonometri, Damodar N. Gujarati ve Dawn Porter, Literatür Ders Kitapları
8 Midterms Temel Ekonometri, Damodar N. Gujarati ve Dawn Porter, Literatür Ders Kitapları
9 Simultaneous Equations Temel Ekonometri, Damodar N. Gujarati ve Dawn Porter, Literatür Ders Kitapları
10 Foreing Temel Ekonometri, Damodar N. Gujarati ve Dawn Porter, Literatür Ders Kitapları
11 Foreing Temel Ekonometri, Damodar N. Gujarati ve Dawn Porter, Literatür Ders Kitapları
12 ARIMA Models Temel Ekonometri, Damodar N. Gujarati ve Dawn Porter, Literatür Ders Kitapları
13 Analysis of Panel Data Temel Ekonometri, Damodar N. Gujarati ve Dawn Porter, Literatür Ders Kitapları
14 Analysis of Panel Data Temel Ekonometri, Damodar N. Gujarati ve Dawn Porter, Literatür Ders Kitapları
15 Review of the semester Temel Ekonometri, Damodar N. Gujarati ve Dawn Porter, Literatür Ders Kitapları
Assesment Criteria   Mid-term exam Final exam
  Quantity Percentage Quantity Percentage  
Term Studies : - -
Attendance / Participation : - -
Practical Exam : - -
Special Course Exam : - -
Quiz : - -
Homework : - -
Presentations and Seminars : - -
Projects : - -
Workshop / Laboratory Applications : - -
Case studies : - -
Field Studies : - -
Clinical Studies : - -
Other Studies : - -
Mid-term exam   1 40
Final exam   1 60
ECTS WORK LOAD TABLE   Number Duration
Course Duration : 14 3
Classroom Work Time : 30 1
Presentations and Seminars : - -
Course Internship : - -
Workshop / Laboratory Applications : - -
Field Studies : - -
Case studies : - -
Projects : - -
Homework : 0 0
Quiz : - -
Mid-term exam : 1 40
Final Exam : 1 40
ECTS 5
No COURSE LEARNING OUTCOMES CONTRIBUTION
D.Ö.Ç. 1 Will be able to and apply appropriate statistical models pertaining to various subject areas in economics 4
D.Ö.Ç. 2 Will be able to estimate nonlinear models. 4
D.Ö.Ç. 3 Will be able to analyse models with a dichotomy variable as dependent variable, specifically, the LPM, Logit, and Probit models. 4
D.Ö.Ç. 4 Will be able to use simultaneous equation models the indirect and two step least squares methods 4
D.Ö.Ç. 5 Will be able to use dynamic models with time delayed explanatory variables 4
D.Ö.Ç. 6 Will be able to use Granger causality test 4
D.Ö.Ç. 7 Will be able to explain basic theories of stationary and nonstationary models such as the ARMA and the ARIMA models. 4
D.Ö.Ç. 8 Will be able to use models for panel data 4
D.Ö.Ç. 9 To comment the econometric model findings 4
D.Ö.Ç. 10 To make the robustness test with the use of E-Views program, make estimations 4
* 1: Zayıf - 2: Orta - 3: İyi - 4: Çok İyi
COURSE LEARNING OUTCOMES AND PROGRAM OUTCOMES AND RELATIONSHIPS MATRIX

DÖÇ1DÖÇ2DÖÇ3DÖÇ4DÖÇ5DÖÇ6DÖÇ7DÖÇ8DÖÇ9DÖÇ10DÖÇ11DÖÇ12DÖÇ13DÖÇ14DÖÇ15DÖÇ16DÖÇ17DÖÇ18DÖÇ19DÖÇ20
PÇ1
PÇ2
PÇ3
PÇ4
PÇ5
PÇ6
PÇ7
PÇ8
PÇ9
PÇ10
PÇ11
PÇ12
PÇ13
PÇ14
PÇ15
PÇ16
PÇ17
PÇ18
PÇ19
PÇ20