APPLIES TO ACADEMIC YEAR 2014/2015

GRA 6039 Multivariate Statistics with Econometrics


Responsible for the course
Steffen Grønneberg, Ulf Henning Olsson

Department
Department of Economics

Term
According to study plan

ECTS Credits
6

Language of instruction
English

Introduction
The aim of the course is to equip the students with an understanding of statistical techniques at a level expected among master students in economics, finance and related disciplines. Both theoretical and practical exercises will be given.

Learning outcome
After taking this course, students should have a solid knowledge of the general linear regression model, its most common extensions and practical experience in applying these models using modern software.

Prerequisites
A bachelor degree qualifying for entrance to the MSc programme. Basic statistics, linear algebra and an introductory course in econometrics

Compulsory reading
Books:
Johnson, Richard Arnold, Dean W. Wichern. 2014. Applied multivariate statistical analysis. 6th ed., New international ed. Pearson Prentice Hall
Stock, James H., Mark W. Watson. 2012. Introduction to econometrics. 3rd ed. Pearson.

A customized edition of Johnson et. al 2014 and Stock et. al 2012 will be available. This edition will include all relevant chapters from the two text books.


Other:
During the course there may be hand-outs and other material on additional topics relevant for the course and the examination


Recommended reading

Course outline
1. Probability theory. Statistical testing and estimation theory illustrated through the linear regression problem.
2. Linear regression with time dependent errors: Autoregressive and Moving Average theory.
3. Multivariate multiple linear regression and Simultaneous Equation Systems.
4. Principal Components and its use in linear regression.
5. Exploratory Factor Analysis and an introduction to Covariance Models and their connection to Simultaneous Equation Systems.

Computer-based tools
The course uses modern statistical software e.g. Stata, R etc.

Learning process and workload
A course of 6 ECTS credits corresponds to a workload of 160-180 hours. Lectures and exercises.

Please note that while attendance is not compulsory in all courses, it is the student’s own responsibility to obtain any information provided in class that is not included on the course homepage/It's learning or text book.


Examination
Term paper and a 3 hours written exam. Groups of up to three students on the termpaper. Students will have ca 2 weeks for writing the term paper.
The term paper counts for 40 % of the grade and the written exam counts for 60% of the final grade.

For further information please see information placed on It's learning and the web

Specific information regarding student evaluation beyond the information given in the course description will be provided in class. This information may be relevant for requirements for term papers or other hand-ins, and/or where class participation can be one of several elements of the overall evaluation.


Examination code(s)
GRA60393 accounts for 40% of the grade (term paper)
GRA60394 accounts for 60% of the grade (written exam, 3 hours)
Both evaluations must be passed in order to get a grade in the course.


Examination support materials
A bilingual dictionary and BI-approved exam calculator.
Examination support materials at written examiniations are explained under examination information in the student portal @bi. Please note use of calculator and dictionary in the section on support materials.


Re-sit examination
It is only possible to retake an examination when the course is next taught.
The assessment in some courses is based on more than one exam code.
Where this is the case, you may retake only the assessed components of one of these exam codes.
Where this is not the case, all of the assessed components of the course must be retaken.
All retaken examinations will incur an additional fee.

Please note that students who only retake the control exam need to be aware that the exam may be based on the termpaper given this semester. Students should therefore regard the termpaper as a part of the course literature, even if the students already have a passing grade in the termpaper.


Additional information
Honor Code
Academic honesty and trust are important to all of us as individuals, and represent values that are encouraged and promoted by the honor code system. This is a most significant university tradition. Students are responsible for familiarizing themselves with the ideals of the honor code system, to which the faculty are also deeply committed.

Any violation of the honor code will be dealt with in accordance with BI’s procedures for cheating. These issues are a serious matter to everyone associated with the programs at BI and are at the heart of the honor code and academic integrity. If you have any questions about your responsibilities under the honor code, please ask.