UNIVERSITY OF BRISTOL
Sessional Examination for Schools in Economics
Exam June 2011
EXAM PAPER NUMBER ECON12122
QUANTITATIVE METHODS 2
(Module No. ECON12122)
Time allowed: THREE hours
Approved electronic calculators are permitted.
Intermediate calculation
School of Economics, Finance and Management
Quantitative Methods 2 - Econometrics
Exercise 8 - Solutions
You must do all the questions in Sections A and B for the tutorials in week 17.
Section A
Refer to the table below of estimated regressions computed u
School of Economics, Finance and Management
Quantitative Methods 2 - Econometrics
Exercise 7 - Solutions
Section A
1. Suppose that a researcher, using wage data on 250 randomly selected male workers and 280
female workers, estimates the OLS regression,
Wa
School of Economics, Finance and Management
Quantitative Methods 2 - Econometrics
Exercise 6 - Solutions
Section A
1. Suppose that a researcher, using data on class size (CS) and average test scores
(testscore) from 100 third-grade classes, estimates the
School of Economics, Finance and Management
Quantitative Methods 2 - Statistics
Exercise 2
You must do all the questions in Sections A and B for the tutorials in week 6.
Section A questions
These questions will be discussed in the tutorials in week 6. You
UNIVERSITY OF BRISTOL
School of Economics, Finance and Management
Quantitative Methods for M.Sc. Accounting, Finance and Management and Economics,
Finance and Management
ECONM1012
Exercise 1
1. Let Y denote the number of heads that occur when two coins ar
UNIVERSITY OF BRISTOL
School of Economics, Finance and Management
Quantitative Methods for MSc in Economics, Finance and Management
Exercise 2: Solutions
1. Using the fact that Y ~ N ( Y , Y2 ) then
Y Y
Y
~ N(0,1) we have,
Y 1 3 1
(a) Pr(Y 3) Pr
(1) 0.
REVISION EXERCISES
STATISTICS: The Probability Framework for Statistical Inference.
Stock & Watson: Chapter 2
1. Weather conditions whether or not it is raining- affect the commuting time of a student
commuter. Let Y be a binary random variable that equal
Statistical Theory
The probability framework
for statistical inference II
Statistical Theory
The probability framework for statistical inference.
a) Population, random variable, and distribution.
b) Moments of a distribution (mean, variance,
standard devi
Statistical Theory
The probability framework
for statistical inference III
Statistical Theory
The probability framework for statistical inference.
a) Population, random variable, and distribution.
b) Moments of a distribution (mean, variance,
standard dev
EXPECTED VALUE OF A RANDOM VARIABLE
Definition of E(X), the expected value of X:
n
E ( X ) x1 p1 . x n pn xi pi
i 1
The expected value of a random variable, also known as its population mean, is the
weighted average of its possible values, the weights bei
Quantitative Methods
(ECONM 1012)
Introduction
Introduction
Unit Aims
Introduce students to methods developed by
economists to analyse economic and financial
relationships using empirical data.
Teaching Methods
16 Lectures (Dr Raul Crespo-Ofic. 5F7)
4 E
SCHOOL OF ECONOMICS, FINANCE AND MANAGEMENT
MSc in Accounting, Finance and Management and
Economics, Finance and Management
ECON 70003
Quantitative Methods
October 2007
Lecture Notes Part 1
Statistics
David Winter
[email protected]
1 Some Basic Concepts
SCHOOL OF ECONOMICS, FINANCE AND MANAGEMENT
MSc in Accounting, Finance and Management and
Economics, Finance and Management
ECON 70003
Quantitative Methods
Lecture Notes Part 2
Econometrics
1 What is Econometrics and why do we use regression analysis
2 Es
Fundamentals of
Regression
Analysis
Linear Regression with
One Regressor
Linear Regression with One Regressor
Linear regression allows us to estimate, and make
inferences about, population slope coefficients.
Ultimately our aim is to estimate the causal e
School of Economics, Finance and Management
Quantitative Methods 2 - Econometrics
Exercise 5 - Solutions
Section A
1.
a. Consider the regression model Yi = 0 +1 Xi +ui. Suppose you know that 0=0. Derive a
formula for the least squares estimator of 1.
b. S
School of Economics, Finance and Management
Quantitative Methods 2 - Statistics
Exercise 2
You must do all the questions in Sections A and B for the tutorials in week 6.
Section A questions
These questions will be discussed in the tutorials in week 6. You
School of Economics, Finance and Management
Quantitative Methods 2 - Statistics
Exercise 4
You must do all the questions in Sections A and B for the tutorials in week 11.
Section A questions
These questions will be discussed in the tutorials in week 11. Y
UNIVERSITY OF BRISTOL
School of Economics, Finance and Management
Quantitative Methods 2 - Statistics
Exercise 1
You must do all the questions in Sections A and B for the tutorials in week 4.
Section A questions
These questions will be discussed in the tu
School of Economics, Finance and Management
Quantitative Methods 2 - Econometrics
Exercise 5
You must do all the questions in Sections A and B for the tutorial.
Section A questions
These questions will be discussed in the tutorials. You must bring your so
School of Economics, Finance and Management
Quantitative Methods 2 - Econometrics
Exercise 6
You must do all the questions in Sections A and B for the tutorials.
Section A questions
These questions will be discussed in the tutorials. You must bring your s
School of Economics, Finance and Management
Quantitative Methods 2 - Econometrics
Exercise 7
You must do all the questions in Sections A and B for the tutorials.
Section A questions
These questions will be discussed in the tutorials. You must bring your s
School of Economics, Finance and Management
Quantitative Methods 2 - Econometrics
Exercise 8
You must do all the questions in Sections A and B for the tutorials.
Section A questions
These questions will be discussed in the tutorials. You must bring your s
UNIVERSITY OF BRISTOL
Examination for the Degree of BSc in
Economics, Economics with Study in Continental Europe,
Economics and Econometrics, Economics and Finance,
Economics and Management, Economics and Accounting,
Accounting and Finance, Accounting and
Solutions QM2 Exam June 2012
Section A
1(a)
Two continuous random variables x and y have the joint density function f(x,y):
f(x,y)
ax 2 y
=
0x 2;
0y3
where a is a positive constant.
(i) Show that a =
ax
2
1
12
(2 marks)
ydydx = [ ax 2 y 2 / 2dx ] 3
0
=
UNIVERSITY of BRISTOL
Sessional Examination for Schools in Economics
MAY/JUNE 2010
ECONOMICS PAPER NUMBER 11122
QUANTITATIVE METHODS 1
(Module No. ECON11122)
Time allowed: THREE hours
Approved electronic calculators are permitted.
Intermediate calculation
UNIVERSITY OF BRISTOL
Sessional Examination for Schools in Economics
MAY/JUNE 2009
ECONOMICS PAPER 52
QUANTITATIVE METHODS 1
(Module No. ECON11122)
Time Allowed: THREE hours
Answer FOUR questions from the following SIX
You must answer QUESTION 1 and THREE
UNIVERSITY OF BRISTOL
Sessional Examination for Schools in Economics
MAY/JUNE 2009
EXAM PAPER NUMBER ECON12122
QUANTITATIVE METHODS 2
(Module No. ECON12122)
Time allowed: THREE hours
Statistical tables and a formulae sheet are included.
Approved electroni
UNIVERSITY OF BRISTOL
Sessional Examination for Schools in Economics
Exam June 2010
EXAM PAPER NUMBER ECON12122
QUANTITATIVE METHODS 2
(Module No. ECON12122)
Time allowed: THREE hours
Approved electronic calculators are permitted.
Intermediate calculation