ECON20003 Quantitative Methods 2
Summer Semester 2016
Tutorial 10
Discrete Outcome Models
Linear Probability Model, Probit Model and Logit Model
For Completion on Wednesday 10 February
Please note that the tutors may not be able to go through all the thre
ECON20003 Quantitative Methods 2
Summer Semester 2016
Tutorial 11
Time Series Models
Forecasting Techniques
To be completed on Friday 12 February
Question 1
For the following time series, calculate the 5-period moving averages to remove the
seasonal and r
ECON20003 Quantitative Methods 2
Summer Semester 2016
Suggested Solutions for Tutorial 10
Discrete Outcome Models
Linear Probability Model, Probit Model and Logit Model
Question 1
(a) The predicted probability that Matthew pass the test is:
LPM: 0:774 + 0
ECON20003 Quantitative Methods 2
Summer Semester 2016
Tutorial 9
Regression Analysis:
Non Linear Functional Forms and Dummy Variables,
For Friday 5 February
Question 1
Consider the following simple linear regression model, which is used to analyze the
rel
ECON20003 Quantitative Methods 2
Summer, Semester 2016
Tutorial 8
Regression Analysis:
Non-Linear Functional Form and Logarithmic Regression Models
To be completed on Wednesday 03 February
Question 1
The general manager of a supermarket chain believes tha
ECON20003 Quantitative Methods 2
Summer Semester 2016
Tutorial 7
For completion on Friday 29 January
Regression Analysis:
Hypothesis Testing
Question 1
From 25 observations of the variables y; x1 ; x2 and x3 ; estimates on coecients and
their standard err
ECON20003 Quantitative Methods 2
Summer Semester 2016
Tutorial 5
For Friday 22 January
Regression Analysis:
Simple and Multiple Linear Regression
Questions 1-3 are for students to workout themselves. Tutors may not have time to
go through these questions
ECON20003 Quantitative Methods 2
Summer Semester 2016
Tutorial 6
For completion on Wednesday 27 January
Regression Analysis:
OLS Assumptions and Measures of Fit
Question 1
In calculations undertaken to estimate the model
y = " 0 + " 1 x1 + " 2 x2 + "
fty
Business Statistics 1
Tutorial (Week 2)
Questions for in-class tutorial:
Q1. For each of the following variables, determine whether the variable is categorical or numerical. If the
variable is numerical, determine whether the variable is discrete or conti
The Kuhn-Tucker and Envelope Theorems
Peter Ireland
ECON 772001 - Math for Economists
Boston College, Department of Economics
Fall 2016
The Kuhn-Tucker and envelope theorems can be used to characterize the solution to
a wide range of constrained optimizat
ECON20003 Quantitative Methods 2
Summer Semester 2016
Solutions for Tutorial 11
Time Series Models
Forecasting Techniques
Question 1
Question 2
The revenues of a chain of ice-cream stores are listed for each quarter during the years
1997-2001 in the follo