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JOHN CABOT UNIVERSITY

COURSE CODE: "EC 360"
COURSE NAME: "Econometrics "
SEMESTER & YEAR: Fall 2018
SYLLABUS

INSTRUCTOR: Adrian Stoian
EMAIL: [email protected]
HOURS: MW 1:30-2:45 PM
TOTAL NO. OF CONTACT HOURS: 45
CREDITS:
PREREQUISITES: Prerequisites: EC 201, EC 202, MA 209
OFFICE HOURS:

COURSE DESCRIPTION:
Econometrics is the use of statistical tools to test economic models. This course will introduce students to the basic principles of econometrics and will provide them with hands-on practical experience in the field. The course starts with a review of statistical tools and continues with the analysis of simple and multiple regression, heteroskedasticity, autocorrelation, and multicollinearity. Some of the teaching time will be spent in the computer lab, where students will learn how to work with software.
SUMMARY OF COURSE CONTENT:

Single-equation regression model, classical normal linear regression model, statistical inference, hypothesis testing,

misspecification, autocorrelation, heteroscedasticity, multicollinearity, dummy variable regression models, time series models, introduction to panel data analysis.

LEARNING OUTCOMES:

Students should gain a solid foundation in both theoretical and empirical econometrics. and the basic skills needed to develop an empirical research.

TEXTBOOK:
Book TitleAuthorPublisherISBN numberLibrary Call NumberComments
Basic EconometricsGujarati, PorterMcGraw-Hill9780071276252  
REQUIRED RESERVED READING:
NONE

RECOMMENDED RESERVED READING:
NONE
GRADING POLICY
-ASSESSMENT METHODS:
AssignmentGuidelinesWeight
Midterm 30
Homeworks 20
Project 10
Final Exam 40

-ASSESSMENT CRITERIA:
AWork of this quality directly addresses the question or problem raised and provides a coherent argument displaying an extensive knowledge of relevant information or content. This type of work demonstrates the ability to critically evaluate concepts and theory and has an element of novelty and originality. There is clear evidence of a significant amount of reading beyond that required for the course.
BThis is highly competent level of performance and directly addresses the question or problem raised.There is a demonstration of some ability to critically evaluatetheory and concepts and relate them to practice. Discussions reflect the student’s own arguments and are not simply a repetition of standard lecture andreference material. The work does not suffer from any major errors or omissions and provides evidence of reading beyond the required assignments.
CThis is an acceptable level of performance and provides answers that are clear but limited, reflecting the information offered in the lectures and reference readings.
DThis level of performances demonstrates that the student lacks a coherent grasp of the material.Important information is omitted and irrelevant points included.In effect, the student has barely done enough to persuade the instructor that s/he should not fail.
FThis work fails to show any knowledge or understanding of the issues raised in the question. Most of the material in the answer is irrelevant.

-ATTENDANCE REQUIREMENTS:
ATTENDANCE REQUIREMENTS AND EXAMINATION POLICY
You cannot make-up a major exam (midterm or final) without the permission of the Dean’s Office. The Dean’s Office will grant such permission only when the absence was caused by a serious impediment, such as a documented illness, hospitalization or death in the immediate family (in which you must attend the funeral) or other situations of similar gravity. Absences due to other meaningful conflicts, such as job interviews, family celebrations, travel difficulties, student misunderstandings or personal convenience, will not be excused. Students who will be absent from a major exam must notify the Dean’s Office prior to that exam. Absences from class due to the observance of a religious holiday will normally be excused. Individual students who will have to miss class to observe a religious holiday should notify the instructor by the end of the Add/Drop period to make prior arrangements for making up any work that will be missed. 
ACADEMIC HONESTY
As stated in the university catalog, any student who commits an act of academic dishonesty will receive a failing grade on the work in which the dishonesty occurred. In addition, acts of academic dishonesty, irrespective of the weight of the assignment, may result in the student receiving a failing grade in the course. Instances of academic dishonesty will be reported to the Dean of Academic Affairs. A student who is reported twice for academic dishonesty is subject to summary dismissal from the University. In such a case, the Academic Council will then make a recommendation to the President, who will make the final decision.
STUDENTS WITH LEARNING OR OTHER DISABILITIES
John Cabot University does not discriminate on the basis of disability or handicap. Students with approved accommodations must inform their professors at the beginning of the term. Please see the website for the complete policy.

SCHEDULE

Session

Session Focus

Reading Assignment

Weeks 1,2

Introduction. Review of Statistics.

Chapter 1. Appendix A

Weeks 2-5

Simple Regression Model

Chapters 2-6

Weeks 5,6

Multiple Regression Analysis

Chapters 7,8

Week 7

Review and Midterm Exam

 

Week 8

Dummy Variable Regression Models

Chapter 9

Week 9

Multicollinearity. 

Chapter 10

Week 9

Heteroscedasticity

Chapter 11

Week 10

Autocorrelation
Chapter 12

Week 10

Econometric Modelling

Chapter 13

Week 11

Qualitative Response Regression Models

Chapter 15

Week 12

Time Series Econometrics

Chapter 21

Week 12

Further Issues in Data Analysis

Weeks 13, 14

Project Presentations

 

Week 14

Review for Final Exam