Econometrics I (IKT301) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Econometrics I IKT301 Area Elective 3 0 0 3 6
Pre-requisite Course(s)
N/A
Course Language Turkish
Course Type Elective Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Drill and Practice.
Course Coordinator
Course Lecturer(s)
  • Prof. Dr. Tolga Omay
Course Assistants
Course Objectives The aim of this course is to introduce students to the study of econometrics, which deals with the application of statistical methods to test economic theory. Econometrics uses observational data to estimate economic relationships, test hypotheses about economic behaviour, and predict future values of economic variables. Software applications are introduced during the course in order to provide hands-on experience with data collection, analysis and interpretation.
Course Learning Outcomes The students who succeeded in this course;
  • Understand the use of econometric methods in estimating causal relationships and building models in economics and related fields
  • Estimate and interpret the results of empirical models
Course Content Review of basic statistics; simple regression, tests of hypothesis; prediction; assessing goodness of fit; assumptions of the classical linear regression model; transformation of variables; estimation and inference in the multiple regression model.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Review of Basic Statistics - Descriptive Statistics, Probability and Random variables; Introduction – The Methodology of Economics Gujarati, Introduction: pp. 1-13
2 The Nature of Regression Analysis – Causation, Correlation and Types of Data Gujarati, Chapter 1: pp. 15-32
3 Two Variable Regression Model: Some Basic Ideas Gujarati, Chapter 2: pp. 37-52
4 Two Variable Regression Model: The Problem of Estimation Gujarati, Chapter 3: pp. 58-105
5 Two Variable Regression Model: The Problem of Estimation; Gujarati, Chapter 3: pp. 58-105
6 The Normality Assumption: Classical Normal Linear Regression Model Chapter 4: pp. 107-113
7 Two-Variable Regression: Interval Estimation and Hypothesis Testing Gujarati, Chapter 5: pp. 119-133
8 Two-Variable Regression Model: Interval Estimation and Hypothesis Testing Gujarati, Chapter 5: pp. 134-150
9 MIDTERM EXAM
10 Introduction to Eviews Class Handouts
11 Extensions of the Two-Variable Regression Model: Scaling, Functional Forms Gujarati, Chapter 6: pp. 164-193
12 Multiple Regression Model: The Problem of Estimation Gujarati, Chapter 7: pp. 202-232
13 Multiple Regression Model: The Problem of Inference Gujarati, Chapter 8: pp. 248-263
14 Multiple Regression Model: The Problem of Inference Gujarati, Chapter 8: pp. 264-280
15 General Review
16 Final Exam

Sources

Course Book 1. *Gujarati, Damodar N. (2003) Basic Econometrics, 4th Edition, New York and Boston: McGraw-Hill.
Other Sources 2. Wooldridge, Jeffrey (2008) Introductory Econometrics: A Modern Approach (with Economic Applications), 4th Edition, Cengage Learning.
3. Peter J. Kennedy (1998) A Guide to Econometrics, 4th Edition, MIT Press
4. Ramanathan, R. (2002), Introductory Econometrics with Applications, 5th edition, Orlando, FL: Harcourt College Publishers.
5. Hill, R.C., Griffiths, W.E. and G. G. Judge (2001) Undergraduate Econometrics, 2nd Edition, John Wiley and Sons, Inc.
6. Hill, R.C., Griffiths, W.E. and G. G. Judge (2000) Using Eviews For Undergraduate Econometrics, 2nd Edition, Wiley.
7. Asteriou, D. (2006) Applied Econometrics: A Modern Approach using EViews and Microfit, Palgrave-Macmillan.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation 1 10
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 45
Toplam 3 85
Percentage of Semester Work 55
Percentage of Final Work 45
Total 100

Course Category

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

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Have an advanced level of basic theoretical knowledge on the field of public finance in order to obtain the practical gains. X
2 Identify the issues related to the field of public finance by dealing with it within the framework of the methodological approach, and report and evaluate it from an analytical point of view. X
3 Understand, interpret and analyse economic and financial events, equipped with knowledge of certain disciplines, especially economics, business and law. X
4 Develop policies and strategies for solving the problems by establishing the cause-effect relationship related to fiscal and economic issues through theoretical information and the discussions. X
5 Establish the relationship of public financial management and budget theory with public policies, he/she makes strong budget analysis, develop analysis on public finance and makes a link with the policy implementation X
6 Understand the tax theory, learning the legal structure, following the legal and financial developments and gaining a professional competence in tax matters effectively develop it. X
7 Have knowledge of accounting systems in private and public institutions and businesses, analyze and interpret the financial and financial structure of institutions with the knowledge and competence gained. X
8 Gain knowledge of macroeconomic framework and growth theory, including theoretical and country examples, evaluates economic developments from a theoretical perspective. X
9 Use foreign language in financial and economic fields, follow international literature, communicate on professional issues. X
10 Benefit from technological developments in studies specific to its field by using information technologies, digital developments and common software. X
11 Use qualitative and quantitative methods for the analysis of economic, financial, social and institutional events. X
12 While fulfilling its academic and professional responsibilities, develop an approach that respects s United Nations sustainable development goals, freedoms, rights of the disadvantaged groups, environment, cultural and moral values. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 6 96
Presentation/Seminar Prepration
Project
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 2 2
Prepration of Final Exams/Final Jury 1 2 2
Total Workload 148