COURSE INTRODUCTION AND APPLICATION INFORMATION

eco.ieu.edu.tr

Course Name

Code	Semester	Theory (hour/week)	Application/Lab (hour/week)	Local Credits	ECTS
	Fall/Spring

Prerequisites

ECON 301

To succeed (To get a grade of at least DD)

Course Language

Course Type

Elective

Course Level

Mode of Delivery

Teaching Methods and Techniques of the Course

Course Coordinator

Course Lecturer(s)

Assistant(s)

Course Objectives
Learning Outcomes	The students who succeeded in this course; Will be able to select and apply appropriate statistical models pertaining to various subject areas in economics. Will be able to estimate nonlinear models. Will be able to analyse models with a dichotomy variable as dependent variable, specifically, the LPM, Logit, and Probit models. Will be able to use simultaneous equation models; the indirect and two step least squares methods; dynamic models with time delayed explanatory variables; and Granger causality test. Will be able to explain basic theories of stationary and nonstationary models such as the ARMA and the ARIMA models. Will be able to use models for panel data.
Course Description

Course Category	Core Courses
	Major Area Courses
	Supportive Courses	X
	Media and Managment Skills Courses
	Transferable Skill Courses

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week	Subjects	Required Materials
1	Introduction
2	Time Series Models	Using Econometrics: A Practical Guide Chapter 12
3	Nonstationary Data	Using Econometrics: A Practical Guide Chapter 12
4	Holiday-NO CLASS
5	Dummy Dependent Variable Techniques	Using Econometrics: A Practical Guide Chapter 13
6	Dummy Dependent Variable Techniques – cont’d	Using Econometrics: A Practical Guide Chapter 13
7	Midterm Exam	November 5
8	Simultaneous Equations- Project 1 due on November 12	Using Econometrics: A Practical Guide Chapter 14
9	Simultaneous Equations – cont’d	Using Econometrics: A Practical Guide Chapter 14
10	Forecasting	Using Econometrics: A Practical Guide Chapter 15
11	Forecasting	Using Econometrics: A Practical Guide Chapter 15
12	Analysis of Panel Data	Using Econometrics: A Practical Guide Chapter 16
13	Analysis of Panel Data	Using Econometrics: A Practical Guide Chapter 16
14	Presentations
15	Presentations
16	Review of the semester

Course Notes/Textbooks	A. H. Studenmund, Using Econometrics: A Practical Guide (Fifth Edition)
Suggested Readings/Materials

EVALUATION SYSTEM

Semester Activities	Number	Weigthing
Participation	16	10
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury	1	10
Project	2	30
Seminar / Workshop
Oral Exam
Midterm	1	15
Final Exam	1	35
Total

Weighting of Semester Activities on the Final Grade	20	65
Weighting of End-of-Semester Activities on the Final Grade	1	35
Total

ECTS / WORKLOAD TABLE

Semester Activities	Number	Duration (Hours)	Workload
Course Hours (Including exam week: 16 x total hours)	16	3	48
Laboratory / Application Hours (Including exam week: 16 x total hours)	16
Study Hours Out of Class	16	2
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury	1	10
Project	2	15
Seminar / Workshop
Oral Exam
Midterms	1	10
Final Exams	1	20
		Total	150

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#	Program Competencies/Outcomes	* Contribution Level
#	Program Competencies/Outcomes	1	2	3	4	5
1	To have a sound knowledge of the quantitative and qualitative methods that will help to examine the premises of different theories for an applied subject so that a contribution to solving current economic problems can be made.					X
2	To have the experience of writing, using software, and doing presentations in the newspapers, magazines, meetings, panels, and in equivalent virtual platforms (internet), in order to share their accumulated knowledge and problem solving ability acquired during their education.				X
3	To be able to participate in academic, professional, regional, and global networks and to utilize these networks efficiently.				X
4	To have adequate social responsibility and awareness with regards to the needs of the society and to have sufficient experience and qualifications to organize and support the activities to influence the social dynamics in line with the social goals.
5	To be able to integrate the knowledge and training acquired during the university education with personal and work experience and produce a synthesis of knowledge she requires.
6	To have the ability to evaluate his/her advance (post graduate) level educational needs and do necessary planning to fulfill those needs through the acquired capability to think analytically and critically.					X
7	To have sufficient practical and theoretical knowledge base in order to define the economic agents and their interaction both in the national and global level, to process economic data and to implement scientific research for development of economic policies.					X
8	Keeping in mind that economics is a social science, to have the skills to integrate social dynamics into economic process both as an input and an output and to be open to theoretical innovations in this direction.				X
9	To associate accumulated knowledge acquired during the university education with historical and cultural qualities of the society and to convey it to different groups.
10	To be able to follow knowledge and change in economics and communicate with colleagues in a foreign language.		X
11	To possess social, scientific and ethical values at the data collection, interpretation and dissemination stages of economic analysis.				X
12	To have advanced level of speaking and writing skills of a second foreign language to support continuation of post graduate professional and individual development

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest