AUSTRALIAN NATIONAL UNIVERSITY
Mid-Semester Examination April 2006
ECONOMETRIC MODELLING (EMET2007/8013)
Study Period: 15 minutes
Time Allowed: Two hours
Permitted Material: Calculator: Non-programmable;
One A4 page with notes on both sides
Attempt all qu

EMET2007/EMET6007 SEMESTER 1 2014
ASSIGNMENT 1: Due Thursday, 4 April 2014 at 4:00pm
Instructions: Hand in your work by putting it in the EMET2007 assignment box provided near
the Research School of Economics Office on the first floor of the Arndt Buildin

EMET2007 Econometrics I: Econometric Methods
Professor Rodney W. Strachan, ANU
stats, prob review
20th February 2013
Lecture 1 (stats, prob review)
EMET2007
20 th February 2013
1 / 58
Welcome to your rst course in econometrics!
This course will give you s

The Australian National University
Research School of Economics
Econometrics I: Econometric Methods (EMET2007/6007)
Semester 1, 2013
Assignment 1
Due Monday March 25th at 4pm [NOTE: Change of due date]
Name:
University ID:
Tutorial time:
Name of tutor:
In

The Australian National University
Research School of Economics
Econometrics I: Econometric Methods (EMET2007/6007)
Semester 1, 2013
Assignment 1 - Marking Guide
Due Monday March 25th at 4pm [NOTE: Change of due date]
Name:
University ID:
Tutorial time:
N

CHAPTER 8
SOLUTIONS TO PROBLEMS
8.1 Parts (ii) and (iii). The homoskedasticity assumption played no role in Chapter 5 in showing
that OLS is consistent. But we know that heteroskedasticity causes statistical inference based on
the usual t and F statistics

CHAPTER 4
SOLUTIONS TO PROBLEMS
4.1 (i) and (iii) generally cause the t statistics not to have a t distribution under H0.
Homoskedasticity is one of the CLM assumptions. An important omitted variable violates
Assumption MLR.3. The CLM assumptions contain

CHAPTER 3
SOLUTIONS TO PROBLEMS
3.1 (i) hsperc is defined so that the smaller it is, the lower the students standing in high
school. Everything else equal, the worse the students standing in high school, the lower is
his/her expected college GPA.
(ii) Jus

CHAPTER 2
SOLUTIONS TO PROBLEMS
2.1 (i) Income, age, and family background (such as number of siblings) are just a few
possibilities. It seems that each of these could be correlated with years of education. (Income
and education are probably positively co

THE AUSTRALIAN NATIONAL UNIVERSITY
First Semester Examination (2006)
ECONOMETRIC METHODS
(EMET2007/8013)
Writing period : 2 Hours duration
Study period : 15 Minutes duration
Permitted materials : Non-programmable Calculators, one A4 page with notes on bot

EMET 2007/6007
TUTORIAL 1 (Week starting February 17, 2014)
The aim of this tutorial is to familiarise you with EViews (the computing software that
will be used for EMET 2007/6007). You can work through the tutorial in your own time,
or during this weeks

EMET2007 Tut 5 17/3/2014
3. a) There is a strong association. Both food and total have long tails to the right. Logs shrink
those in.
2,000
1,600
FOOD
1,200
800
400
0
0
500
1,000
1,500
2,000
2,500
3,000
7.6
8.0
TOTAL
7.6
7.2
LOG(FOOD)
6.8
6.4
6.0
5.6
5.2

Lecture Notes #3: Mathematical Tools for
Econometrics (continued)
Introduction to Monte Carlo Experiments
3-1
Variances
Population variances are also expectations the
expected squared deviation about the mean.
A measure of the dispersion of the rv.
Var(

EMET 2007/6007
Tutorial 8 (Week starting 21 April 2014)
1.
Consider the log-log model of the demand for chicken from Tutorial 6,
log(qi) = 0 + 1 log(ii) + 2 log(pi) + 3 log(ppi) + 4 log(bi)+ ui
where qi is the amount of chicken consumed, pi is the price o

EMET 2007/6007
Tutorial 7 (Week starting 31 March 2014)
1. How is the chi-squared rv with one degree of freedom related to the standard
normal rv? Compare the 5% critical values from each. How is the t rv with 10
degrees of freedom related to the F distri

EMET 2007/6007
TUTORIAL 5 (Week starting 17 March, 2014)
1. Consider the data from question 1 of last weeks tutorial, y = cfw_3, 1, 0, 0, x = cfw_-1, 5,
8, 12.
a) Find the residuals, the SSR, s2 and the estimated standard error of the slope
estimate.
b) U

EMET 2007/6007
Tutorial 6 (Week starting 24 March 2014)
1. Discuss what is wrong with the following statement: In the context of using OLS to
estimate the parameters of the simple linear regression model given by
yi = 0 + 1 x1i + 2 x2i + ui
the assumption

EMET 2007/6007
TUTORIAL 4 (Week starting 10 March, 2014)
1. Consider the data y = cfw_3, 1, 0, 0, x = cfw_-1, 5, 8, 12. Plot the data (by hand). Use the
plot to guess the values of the intercept and slope in the model yi = 0 + 1 xi + ui.
Find (by hand), t

EMET2007/6007
TUTORIAL 3 (Week starting 3 March 2014)
Consider an example from lectures. A population takes on values 0, 1
and 2 with relative frequencies 0.25, 0.5 and 0.25 respectively. A sample of
size one from the population gives a random variable X

EMET 2007/6007 2014 Tut 6
Q2
a) Plot. No, does not look like a demand curve. Income is changing, moving the D curve out.
4.3
4.2
P_LOG
4.1
4.0
3.9
3.8
3.7
3.6
3.3
3.4
3.5
3.6
3.7
3.8
3.9
4.0
Q_LOG
b) R-squared = 0.98, almost all of the variation is explai

EMET2007/8013
TUTORIAL 2 (Week starting 24 February 2014)
1. Consider the housing data, and suppose that m price is the mean price of
houses in Boston, that m size is the mean house size (number of rooms), and
that m crime is mean crime rate. Using the sa

Mid Semester Examination (2013)
ECONOMETRICS I: ECONOMETRIC METHODS
(EMET2007 EMET6007)
You must attempt to answer all questions.
All questions to be completed in the script book provided.
You must show ALL WORKING.
Be sure to write out each stage of any

The Australian National University
Research School of Economics
Econometrics I: Econometric Methods (EMET2007/6007)
Semester 1, 2013
Assignment 2
Due Friday May 24th at 4pm
Name:
University ID:
Tutorial time:
Name of tutor:
Instructions: This assignment i

EMET2007/6007 Econometrics I: Econometric Methods
Professor Rodney W. Strachan, ANU
specication and data issues
22nd May 2013
Lecture 10 (specication and data issues)
EMET2007/6007
22 nd May 2013
1 / 46
RODNEY: TURN ON THE RECORDING!
Lecture 10 (specicati

EMET2007/6007 Econometrics I: Econometric Methods
Professor Rodney W. Strachan, ANU
qualitative variables
8st May 2013
Lecture 9 (qualitative variables)
EMET2007/6007
8 st May 2013
1 / 53
RODNEY: TURN ON THE RECORDING!
Lecture 9 (qualitative variables)
EM