courseoutline se(eco00037m) term1 201415

7/21/2019 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 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

courseoutline se(eco00037m) term1 201415

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