ECON2206: Introductory Econometrics
Assignment 2
Michele De Nadai
Problem 1 (10 points)
The file SLEEP75.dta contains information on sleeping time and demographics on a sample of 706 individuals. We are interested in the following two
specifications:
slpn
Assignment 2
a) The model has a binary dependent variable and hence it known as a linear probability
model (LPM). This means that the probability of response is linear in parameters or
independent variables. In commenting on interpretation 1, it is observ
a) Why the model is known as a linear probability model (LPM)? Comment on the interpretation of 1.
The model is known as a linear probability model (LPM) because it consist a binary dependent variable namely ecobuy and the
response probability is linear i
Micro 2 Review Question
Tai, Jimmy and Ashley production
There are 434 students in the market. The utility function for each of the student is
217 2
= 900
+ .
4
Good x is oil for heating their cold study rooms that cost 1 dollar to purchase. Good y is
A1Q1. Wooldridge 3.4
i)
ii)
iii)
iv)
v)
We expect 5 to be less than or equal to 0 (zero) because higher/increase in the
rank of the law school signifies the inferiority the law school, as a rank of 1 is
seen as the best (can be seen in terms of stature of
z3377508
ECON2206 Assignment 1
Michael Latten
ECON2206 Assignment 1
Model:
log(wage) = 0 + 1age + 2IQ + u
Part A
The 1 and 2 in this model are the parameters of the two explanatory variables, age and IQ,
and show the magnitude by which wage changes with a
ECON2206: ASSIGNMENT 1
PROBLEM 1 (THEORY)
10 MARKS
Show E ( y ix i)= 0 + 1 x i
a)
(3 marks)
From the error term assumption (zero conditional mean) we know that:
Then
yi
E( y ix i )=E
= E(
)=
E ( ui|x i )=E ( ui ) =0
E( 0 + 1 x i +ui )
0 +E ( 1 x i)+E (u
ECON2206 Theory Notes
Econometrics deals with non-experimental data drawn from observing economic
events
4 main data structures:
Cross-sectional
o Sample taken at one point in time
o Random sampling
Time-series
o Observation of variables over time
o Chr
Name of Candidate: _
Student ID: _
Signature: _
THE UNIVERSITY OF NEW SOUTH WALES
School of Economics
SEMESTER 1 2012
ECON 2206
Final Examination
1.
Time allowed - 2 hours
2.
Reading time - 10 minutes
3.
This examination paper has 13 pages, including this
UNSW Business School
School of Economics
ECON2206
Introductory Econometrics
Tutorial Program
Sample Answers
Session 2, 2015
1
Week 2 Tutorial Exercises . 3
Table of Contents
Problem Set . 3
STATA Hints . 4
Week 3 Tutorial Exercises .
ECON2206 Introductory Econometrics
Lecture 11: Further Issues with Time Series Analysis
Lecturer: Garry Barrett
UNSW
Session 1, 2010
Lecturer: Garry Barrett (UNSW)
Lecture 11: Time Series II
Session 1, 2010
1 / 25
Lecture 11 :Further Issues with Time Seri
(a) What are the meanings of and in this model? What sign do you expect for each
of them, and why?
and are parameters of the econometric model and describe the directions and relationship
between cigarettes smoked per day and factors used to determine it.
ECON2206/ECON3290
Assignment 2
Due WEEK 11 on Thursday
October 17
Dr. Rachida Ouysse
New Submission procedure
You must submit one hard copy of the assignment and one online copy in the course
blackboard.
Ahe Aard copy MUST be Aropped Anto the Aconomics
There are dummy variables in the equation
Ceterius Paribus is a very important consideration for policy
analysis to determine causal relationships
sample : specify the range of sample observations to use
read : read in data and put the data columns into v
SCHOOL OF ECONOMICS
ECON 2206 / ECON 3290 (Arts) INTRODUCTORY ECONOMETRICS
FINAL EXAMINATION
SESSION 1, 2009
1. TIME ALLOWED - 2 Hours.
2. READING TIME = 10 Minutes
3. THIS EXAMINATION PAPER HAS 9 PAGES
4. TOTAL NUMBER OF QUESTIONS - 6.
5. ANSWER ALL QUES
THE UNIVERSITY OF
NEW SOUTH WALES
SCHOOL OF ECONOMICS
ECON 2206 INTRODUCTORY ECONOMETRICS
FINAL EXAMINATION
SESSION 1, 2008
1. TIME ALLOWED - 2 Hours.
2. READING TIME = 10 Minutes
3. THIS EXAMATION PAPER HAS 9 PAGES
4. TOTAL NUMBER OF QUESTIONS - 6.
5. AN
THE UNIVERSITY OF
NEW SOUTH WALES
SCHOOL OF ECONOMICS
Eco~
2206
I"TRODUCTORY ECOI\'OMETRICS
FINAL EXAMI~ATIO:'-!
SESSION 1,
2007
1. TIME ALLOWED - 2 Hours.
2. TOTAL NUMBER OF QUESTIONS - 6.
3. ANSWER ALL QUESTIONS.
4. ALL QUESTIONS ARE OF EQUAL VALUE (The
School of Economics
ECON2206
Introductory Econometrics
Tutorial Program
Session 1, 2014
Assignment 1 is on page 5.
Assignment 2 is on page 12.
1
Week 2 Tutorial Exercises
Read Chapter 1 thoroughly.
Make sure that you know the meanings of the Key Terms at
ECON2206/ECON3290: Introductory Econometrics
Session 1, 2010
Course Project Solution Guide
Each question is worth 1 mark - and there are 20 questions in total. Note Instruction (d): Remember that
when performing statistical tests, always state the null an
Regression recap
=0
= 2
, = 0,
0, 2
Tutorial 2: Q1
We used the data in MEAP93.Raw (meap93.dta)
for Example 2.12. Now we want to explore the
relationship between the math pass rate
(math10) and spending per student (expend).
(i) Do you think each add
Yifan Shen z5059626
Tutorial: Tuesday 1pm, T13A
ECON2206 Hand In Assignment.
1 a) False. Given that y is dependent on both x and z, this implies that both
independent variables x and z are correlated with y. However, by neglecting the
effect of z, this me
Quant PASS for Introductory Econometrics
begins Week 3
Working
together
makes learning
easier
Want to get off to a good start in your
second year studies? This year we are
offering PASS for the first time in
ECON2206.
Want to talk to trained student
lead
Business School
School of Economics
ECON2206
Introductory Econometrics
Course Outline
Semester 1, 2015
Part A: Course-Specific Information
Students are also expected to have read and be familiar with Part B Supplement to
All Undergraduate Course Outlines.
Tutorial 11 Recap
Time series data vs. cross-sectional data:
Temporal ordering.
Not a random sample as TS data is NOT
independent of one another.
Stochastic process (SP) and its realisation:
SP is just a random variable that depends on the
time index
ECON2206 Tutorial: Week 4
Shang Wu
[email protected]
School of Economics
University of New South Wales
1
A few things before we start
Assignment 1 due next week on tutorials.
Assignment 1Test signicance of coecients in STATA:
regress y x1 x2; test x1=0
Introduction
Implications of HET
Het-robust inference
Tests for Het
GLS and WLS
Multiple Regression Model:
Heteroskedasticity
Wooldridge (Chapter 8)
Dr. Rachida Ouysse
School of Economics
UNSW
Dr. Rachida Ouysse
FGLS
Prediction
LPM
Introduction
Implicatio
SCHOOL OF ECONOMICS
Econ 2206 Introductory Econometrics
Final Examination
Session 1, 2007
1. TIME ALLOWED - 2 Hours.
2. TOTAL NUMBER OF QUESTIONS - 6.
3. ANSWER ALL QUESTIONS.
4. ALL QUESTIONS ARE OF EQUAL VALUE (The marks awarded to each part of a questi
ECON2206
Introductory Econometrics
Major project:
Water restrictions Stage 2
Semester 1, 2017
Response to request for further data
The Water Board has responded to the DF Consulting request for further data. The following has
been extracted from their rep
ECON2206
Introductory Econometrics
Major project:
Water restrictions Stage 1
Semester 1, 2017
Outline
Welcome to DF Consulting. It is good to see that we have finally hired someone with econometric
skills. We have your first task ready to commence.
DF Con
ECON2206 Introductory Econometrics
Assignment
Question 1 (4 marks)
Are the following statements True, False or Uncertain. You will also need to justify your answer.
(Please keep your justifications brief. Approximately half a page each should be more than
unitravel.des
sex tut1 age trtime yr12hrs outcome ATAR
Obs: 723
1. sex =1 if female
2. tut1 number of tutorials attended in Semester 1
3. age age in years
4. trtime time spent travelling to university in minutes
5. yr12hrs usual hours studying per
ECON2206 Assignment 2
Stella Henny Bunawan
Z3483960
1
Tutorial Number: TUT W17A
Tutors Name: Nathan Walsh
ASSIGNMENT 2
A. Why the model is known as a linear probability model (LPM)? What is the
meaning of 1?
This model is considered as a Linear Probabi