Introductory to Econometrics (4 credit hours) Dr. Juna Miluka

Faculty building; first floor +355 4 244 1330/1/2 TBD

Course Description: This course will introduce the students to econometrics and is designed to provide you with the theoretical tools and practical experience necessary to do applied econometric research.

Course Purpose: The purpose of this course is to provide students with a basic understanding of econometrics and econometric analysis. The course will help the student use econometric tools to analyze different economic topic. The course will cover topics such as linear regression model, multiple regression models, multicollinearity, heteroscedasticity, serial correlation, simultaneous equations models and the like.

Course Objectives: Upon completion of the course, students should be able to:

  1. Understand the basic econometric tools
  2. Understand the basic econometric models
  3. Know how to run regressions using computer programs
  4. Conduct simple econometric analysis

Required Reading: Ramanathan, Ramu, 5-th ed., South-Western, 2002.

Additional reading material will be provided in class or by e-mail to augment the textbook. You will be responsible for finding, printing, reading, etc of the materials send by e-mail, unless otherwise specified. Use your e-mail account as an important source of information, for class materials and additional information regarding this course.

Required Readings should be completed prior to each class, therefore lecture assumes that you have read the material. Please come to class with questions on these readings. This will make class more enjoyable and productive.

Course Policies: This course will respect the code of conduct and all related UNYT policies with regard to: lecture attendance, plagiarism etc. All cellular phones must be switched off during class period.

Exams: Two midterm exams and a final exam will be given. The final exam covering all course content will be given during the final examination period. Exams will include reading materials, lecture notes, and materials discussed during the presentations Makeup exams will be allowed only for compelling reasons upon provision of verification and will require pre-approval.

Participation: Participation extends beyond mere attendance. Classroom discussion of topics and current socio-economic events is essential for the successful completion of this course. Expect your instructor to keep track of how often you contribute to class discussion (as a whole), particularly during the panel discussion section. You may miss up to three classes without penalty – your first two absences count whether you have a good excuse or not. Each absence beyond the first three will cost you points off of your participation grade. The only exceptions to this rule are severe illness (doctor’s note required) and UNYT approved trips/activities. Appropriate documentation for absences beyond the first three is necessary the class day directly before or after the one you miss. In general: this class is intensive and interactive. Missing class could seriously affect your grade! Students are reminded not to approach the instructor for copies of the previous week’s materials during immediately before, during, or immediately after class. Students are expected to collect materials from their classmates or see the instructor during consultation hours.

In class presentation: The presentation is an important tool to practice what has been taught and discussed in class. It is an opportunity for students to broaden their knowledge of a specific topic or area. The presentation will be on a specific topic covered in class and will include the presentation of an econometric model.

Course Grade: Grade Component Presentation

Midterm I Midterm II Final Exam



Contribution to Final Grade

25% 20 % 20 % 35 %

Grading Scale: Grading scale follows the official UNYT as below

Letter Grade

Percent of Total Grade

Generally Accepted Meaning



Outstanding work





Good work, distinctly above



A verage












Significantly below average







Work that does not meet the minimum standards for passing the course

Tentative Course Outline: While the course will try to explore all topics several important issues will receive particular attention. Core chapters that cover critical models and theory are market in bold. The instructor holds the right to make changes to the syllabus, and will inform the students in due course.

Date Topics to be covered in class Chapters

Week1 Introduction 1

Week 2 Week 3 Week 4 Week 5 Week 6 Week 7 Week 8 Week 9 Week 10 Week 11 Week 12 Week 13 Week 14 Week 15

Review of Probability and Statistics
The Simple Linear Regression Model
Multiple Regression Models and Multicollinearity
Choosing Functional Forms and Testing for Model Specification Qualitative (or Dummy) Independent Variables
Midterm I
Heteroskedasticity and Serial Correlation
Distributed Lag Models
Qualitative and Limited Dependent Variables; Midterm II Carrying Out and Empirical Project
Final Exam


3 4, 5 6 7

8, 9 10 11 12 13