Courseoutline SE(ECO00037M) Term1 201415
Transcript of Courseoutline SE(ECO00037M) Term1 201415
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DEPARTMENT OF ECONOMICS AND RELATED
STUDIES
COURSE TITLE: Statistics and Econometrics
COURSE NO.: ECO00037M
CREDIT VALUE: 20
CONTACT HOURS: 54 hours
Term1: 20 lectures, 7 seminars (27 hours)
Term2: 16 lectures, 5 seminars and 6 practical
sessions (27 hours)
Course Outline for Term 1, 2014/15*
Lecturer: Professor Takashi Yamagata([email protected])
Room A/EC/018
Office Hours:
Monday 9:30 11:30
*The course outline of term 2 will be provided later
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Aims To help students to gain an understanding of the basic concepts of probability,
random variables, point estimation, interval estimation, hypothesis testing,
analysis of variance, non-parametric test, and OLS estimation of simple linear
regression models.
Objectives1. understand concepts relevant to summarizing and interpreting data, and be able to
carry out relevant calculations;
2. understand the basic concepts of probability, random variables, and probability
distributions, and be able to apply basic rules and results in different contexts;
3. understand the concepts of populations, samples, and sampling distributions;
4. understand and be able to apply procedures for estimating quantities of interestand testing claims about such quantities;
5. Understand the concepts of OLS estimation of simple linear regression models.
Lecturing Schedule (subject to change, check your timetable)LECTURE SEMINARS
Time Monday Wednesday Tuesday
12.00-14.00 11.00-13.00 13.00-14.00
Venue B/B/002 AEW/003 W/222Week 2 Lecture 1 Lecture 2 --
Week 3 Lecture 3 Lecture 4 Seminar 1
Week 4 Lecture 5 Lecture 6 Seminar 2
Week 5 Lecture 7 -- Seminar 3
Week 6 Lecture 8 -- Seminar 4
Week 7 Lecture 9 -- Seminar 5
Week 8 Lecture 10 -- Seminar 6
Week 9 -- -- Seminar 7
Week 10 -- -- --
- There will be 7 exercise sheets. In the scheduled seminars we will discuss each of
the exercise sheets.
- Submission of your answer toQ1-3 of the Exercise 3 is required. The submission
deadline is4pm Wednesday 22 October 2014 (via the post at the reception)
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AssessmentA link to a pdf file that contains a specimen examination paper for Statistics and
Econometrics (ECO00037M) will be provided on the module web page later.
This module was called "Quantitative Analysis (QA)" until year 2010/11. Please
beware this when you try to find out useful past exam papers.
Reading and Coverage
WEEK 2-5A book that is suitable as the main course text for most (but not all) of the material
is
P. Newbold, W.L. Carlson and B. Thorne, Statistics for Business and Economics,
5rd edition, Prentice-Hall, 2002,
which is denoted byNewboldbelow. Library class mark is SF 1.G NEW. As we
deal with basic concepts of statistics, the other editions ofNewbold(in the library)
serve as well as the above edition. Please note that the lecture focuses on a slightly
higher levelthanNewbolddoes.
A book which has a similar coverage but gives more mathematical detail (most
proofs are over the scope of this module) is
I. Miller and M. Miller,John E. Freunds Mathematical Statistics withApplications, 7th edition, Pearson Prentice Hall, 2004,
which is denoted byFreundbelow. Library class mark is SF FRE. Again, the
other editions (in the library) serve as well as the above edition.
For all topics, references are provided forNewboldandFreund. Concise
summaries of the topics covered in this lecture are also found in Appendix B & C,
J.M. Wooldridge,Introductory Econometrics: A Modern Approach,4th edition,
Thomson South-Western, 2008, or; Chapter 2, G.S. Maddala, Introduction to
Econometrics, 3rd edition, 2001. You may also find a useful discussion in some
on-line textbooks.
Lecture 1: (Topic 1-3) A review of basic statistical and probability concepts
NewboldCh.2, 3 and 4; FreundCh.2
Lecture 2: (Topic 4) Discrete random variables
NewboldCh.5.1, 5.2, 5.3, 5.4, 5.6;FreundCh.3.1, 3.2
Lecture 3: (Topic 5) Continuous random variables
NewboldCh.6.1, 6.2, 6.3, 6.5;FreundCh.3.3, 3.4
Lecture 5a: (Topic 6) Joint probability distribution
NewboldCh.5.7, 6.6;FreundCh.3.5, 3.6(Topic 7) Sampling distributions
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NewboldCh. 6.4, 7.2;FreundCh.8.1, 8.2, 8.5 (except proofs)
Lecture 5b: (Topic 8) Point estimation
NewboldCh. 8.1;FreundCh.10.2,10.3 (except Cramer-Rao
inequality), 10.4
(Topic 9) Interval estimation
NewboldCh. 8.2, 8.3, 8.4, 8.6, 8.7; FreundCh.11.2, 11.3, 11.4, 11.5Lecture 6: (Topic 10) Hypothesis testing
NewboldCh. 9.1, 9.2, 9.3, 9.4, 9.6, 9.7; FreundCh.12.1, 13.1, 13.2,
13.3, 13.5
Lecture 7: (Topic 11) Analysis of Variance
NewboldCh. 15.1, 15.2 (except population model for one-way
analysis of variance, p.591);FreundCh.8.4, 8.5, 8.6, 13.6
(Topic 14) Nonparametric methods
NewboldCh. 13.1, 13.2;FreundCh.16.2, 16.3
WEEK 6-9A book that is suitable as the main course text for most (but not all) of the material is
Dougherty, C., Introduction to Econometrics, Oxford University Press, 4th Edition,
2011.
This textbook is also used in term two, so purchasing this book is strongly
recommended.
Lectures of this term will cover chapters 1 and 2.
Lecture 8: Simple Regression Analysis: Introduction
Dougherty Ch1
Lecture 9: Simple Regression Analysis: Further Discussion
Dougherty Ch1&2
Lecture 10: Simple Regression Analysis: Inference
Dougherty Ch2