COURSE UNIT TITLE

: APPLIED ECONOMETRICS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
EMT 4004 APPLIED ECONOMETRICS COMPULSORY 3 0 0 5

Offered By

Econometrics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR HAMDI EMEÇ

Offered to

Econometrics
Econometrics

Course Objective

The main objective of the course is to teach different techniques after having background of econometrics.

Learning Outcomes of the Course Unit

1   To be able to tell methods if classic regression models are not appropriate.
2   To be able to set forth forecasting techniques to make plans and have strategies and goals.
3   To be able to explain dynamic economics and mathematical models by using econometrics models.
4   To be able to reveal difference between static and dynamic models.
5   To be able to make simulation models.
6   To be able to explain uncertainty about parameters before and after taking sample by using Bayesian methods.
7   To be able to tell reformed techniques for discrete and cencored data.
8   To be able to explain panel data which can be followed over time.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Regression Models in Which errors are not related with eachothers.
2 Test of simultaneous correlation and it s implementations.
3 Forms and methods of Prediction.
4 Unconditional Forecasting.
5 Conditional Forecasting.
6 Dynamic Simultaneous Econometrics Models
7 Measuring stability of system
8 Mid-term
9 Mid-term
10 Econometrics simulation models
11 Multiplier Accelerant Model
12 Cencored regression: Tobit Analysis and selection of sample bias
13 Panel Data
14 Applications

Recomended or Required Reading

1. Akkaya, Ş., Pazarlıoğlu, M.V., (2000), Ekonometri II, Anadolu Matbaacılık, 4.Basım.
2. Griffiths, W., Hill, R.C., Judge, G.G., (1993), Learning and Practicing Econometrics, John Wiley & Sons Inc.
3. Hamdi Emeç, Özlem Kiren Gürler, Hatice Özkoç ve Emrah Gülay(Editör: Şenay Üçdoğruk) Ekonometrik Modeller (Ders Notları)

Planned Learning Activities and Teaching Methods

This course will be presented using softwares to set up econometrics models, statistics softwares, Windows, Word, Excel

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 MTEG MIDTERM GRADE MTEG * 1
3 FIN FINAL EXAM
4 FCGR FINAL COURSE GRADE MTEG * 0.40 + FIN * 0.60
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Prof. Şenay ÜÇDOĞRUK
Room: 632
E-mail: s.ucdogruk@deu.edu.tr
Tel: 0 (232) 301 03 56 Int: 10356

Asst. Prof. Özlem KIREN GÜRLER
Room: 633
E-mail: ozlem.kiren@deu.edu.tr
Tel: 0 (232) 301 04 08 Int: 10408

Office Hours

Prof.Dr. Şenay ÜÇDOĞRUK Monday: 16:00-18:00
Yrd.Doç.Dr. Özlem KIREN GÜRLER Monday: 16:00-18:00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 2 24
Case study 12 1 12
Preparations before/after weekly lectures 12 3 36
Preparation for midterm exam 1 20 20
Preparation for final exam 1 20 20
Preparing assignments 4 1 4
Midterm 1 1 1
Final 1 1 1
TOTAL WORKLOAD (hours) 118

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.15
LO.25
LO.35
LO.44
LO.55
LO.65
LO.74
LO.85

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

Copyright 2015 DEÜ. BİD

HOME / ABOUT US / DEGREE PROGRAMMES / GENERAL INFORMATION FOR STUDENTS / INTERNATIONAL RELATIONS