Tutors and Tutorials
There are some hours of tutorials (2-hours sessions) provided in support of this course.
You will be notified of the dates, times and location of these tutorials. Together with the
name and phone number of your tutor, as soon as you are allocated a tutorial group.
Your tutor will mark and comment on your assignments, keep a close watch on your
progress and on any difficulties you might encounter, and provide assistance to you
during the course. You must mail your tutor-marked assignments to your tutor well
before the due date (at least two working days are required). They will be marked by your
tutor and returned to you as soon as possible.
Do not hesitate to contact your tutor by telephone, e-mail, or discussion board if you need
help. The following might be circumstances in which you would find help necessary.
Contact your tutor if.
• You do not understand any part of the study units or the assigned readings
• You have difficulty with the self-assessment exercises
• You have a question or problem with an assignment, with your tutor's comments on an
assignment or with the grading of an assignment.
You should try your best to attend the tutorials. This is the only chance to have face to
face contact with your tutor and to ask questions which are answered instantly. You can
raise any problem encountered in the course of your study. To gain the maximum benefit
from course tutorials, prepare a question list before attending them. You will learn a lot
from participating in discussions actively.
Summary
The course, Introduction to Econometrics II (ECO 355), expose you to the field of
Econometrics analysis such as Meaning of Econometrics, Methodology of Econometrics,
Computer and Econometrics, and Basic Econometrics Models: Linear Regression,
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Importance of Econometrics etc. This course also gives you insight into Single- Equation
(Regression Models) such as; Regression Analysis, the Ordinary Least Square (OLS)
Method Estimation, Calculation of Parameter
and the Assumption of Classical Least
Regression Method (CLRM), Properties of the Ordinary Least Square Estimators and the
Coefficient of Determination (R
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): A measure of ―Goodness of fit‖. The course shield
more light on the Normal Linear Regression Model (CNLRM) such as Classical Normal
Linear Regression Model, OLS Estimators Under The Normality Assumption, the
Method Of Maximum Likelihood (ML). However, Confidence intervals for Regression
Coefficients
and
and Hypothesis Testing were also examined. Furthermore the
course shall enlighten you about the Practical Aspects of Econometrics Test such
accepting & Rejecting an Hypotheses, the Level of Significance, regression Analysis and
Analysis of Variance and Normality tests.
On successful completion of the course, you would have developed critical thinking skills
with the material necessary for efficient and effective discussion on
Econometrics
Analysis, Single- Equation (Regression Models), Normal Linear Regression Model (CNLRM)
and Practical Aspects of Econometrics.
However, to gain a lot from the course please try to
apply anything you learn in the course to term papers writing in other economic
development courses. We wish you success with the course and hope that you will find it
fascinating and handy.
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