Econ 3P22
Intermediate Macroeconomics II
Winter 2015
Assignment 2
The due date for this assignment is Tuesday, April 7.
Professor: Zisimos Koustas
Chapter 7 Economic Growth I
Chapter 8: Economic Growth II
Chapter 17: Consumption Theory
Chapter 18: Investm
Economics 3P90 Fall 2015
Assignment 1 - Solutions
Due: Friday, October 9, 2015 at or before 5:00 pm.
Instructions
The assignment contains two questions. Answer all questions fully. Deposit the assignments
before the due time into the assignment drop-o box
Brock University
St. Catharines, Canada
Department of Economics
Economics 3P90 Winter 2015
ECONOMETRICS
Course Outline
Course instructor: Ivan Medovikov
January 2015
E-mail: imedovikov@brocku.ca
Office: Plaza Building, Room 429
Office Hours: Tuesdays, Thu
Brock University
St. Catharines, Canada
Department of Economics
Economics 3P90 Winter 2014
ECONOMETRICS
Course Outline
Course instructor: Ivan Medovikov
January 2014
E-mail: imedovikov@brocku.ca
Office: Plaza Building, Room 429
Office Hours: Tuesdays, Thu
Brock University
Economics 3P90 Fall 2014
Ivan Medovikov
1
OLS Applied Example: Advertising
Suppose that you work as an analyst at a marketing consultancy. You are asked by your
client to obtain an estimate of the expected number of TV advertising impress
Lecture 3:
Regression Analysis
What is Regression Analysis?
Economic theory can give us the direction of a change,
e.g. the change in the demand for smartphones
following a price decrease (or price increase)
But what if we want to know not just how? but
Brock University
Economics 3P90
Intermediate Econometrics
Ivan Medovikov
Course Review Notes
Important Notices
These notes provide a brief overview and summary of some of the topics covered in class.
They are NOT a complete collection of all of the examin
3
Qualitative Response Models (QRMs)
So far, the dependent variable Yi in our models was a number. There can be many situations
in which it is not. For example, Yi may be employment or home-ownership status, it can
be gender, color, or political preferenc
Lecture 5:
The Classical Model
The Classical Assumptions
The classical linear regression is the cornerstone of most
econometric theory. The model was developed by Carl Friedrich
Gauss in 1821. The model is based on seven assumptions. When
these assumptio
Lecture 4:
Ordinary Least Squares
Estimating Single-Independent-Variable
Models with OLS
Recall that the purpose of regression analysis is to take a
purely theoretical equation like:
Yi 0 1X i i
(4.1)
And, through the use of data, to get to:
Yi 0 1 X i
Lecture 6:
Hypothesis Testing
What Is Hypothesis Testing?
Economists are interested in numerous
relationships, for example that between demand
and price.
With hypothesis testing we can statistically test these
relationships with the help of sample data.
Lecture 2
Statistical Principles
Probability
A random variable X is a variable whose numerical value is determined by
chance, the outcome of a random phenomenon
A discrete random variable has a countable number of possible
values, such as 0, 1, and 2
A
Lecture 9:
Heteroskedasticity
Pure Heteroskedasticity
Pure heteroskedasticity occurs when Classical Assumption V
is violated (in a correctly specified equation!)
Recall, Classical Assumption V assumes constant variance of
the error term:
With heteroske
ECON 2P90:
INTRODUCTION TO ECONOMETRICS
Lecture 1
Introduction
What is Econometrics?
Econometrics literally means:
economic measurement
It is the quantitative measurement and analysis of
actual economic and business phenomenaand so
involves:
Economic th
Lecture 10:
Serial Correlation
Pure Serial Correlation
Pure serial correlation (also called pure auto-correlation) is the
violation of Classical Assumption IV: observations of the error
term are uncorrelated in a correctly specified equation.
Pure seria
Lecture 8:
Multicollinearity
Introduction and Overview
The next three lectures deal with violations of the Classical Assumptions
and remedies for those violations
This chapter addresses multicollinearity; the next two chapters are on
serial correlation
Economics 3P90 Winter 2014
Assignment 3 - Solutions
Due: Monday, April 6, 2015 by 5:00 pm
Instructions
The assignment contains two questions. Answer both questions fully. Please write legibly,
and show your work.
Question 1 (60 points)
Suppose that you ha
Economics 3P90 Fall 2015
Assignment 1
Due: Friday, October 9, 2015 at or before 5:00 pm.
Instructions
The assignment contains two questions. Answer all questions fully. Deposit the assignments
before the due time into the assignment drop-o box at Plaza Ro
Brock University
Economics 3P90
Intermediate Econometrics
Ivan Medovikov
Course Review Notes
Important Notices
These notes provide a brief overview and summary of some of the topics covered in class.
They are NOT a complete collection of all of the examin
Economics 3P90 Winter 2014
Assignment 3
Due: Monday, April 6, 2015 by 5:00 pm
Instructions
The assignment contains two questions. Answer both questions fully. Please write legibly,
and show your work.
Question 1 (60 points)
Suppose that you have a dataset
Brock University
Economics 3P90
Intermediate Econometrics
Ivan Medovikov
Course Review Notes
Important Notices
These notes provide a brief overview and summary of some of the topics covered in class.
They are NOT a complete collection of all of the examin
Formula Sheet & t-Table
Zi
(Pi /(1 Pi )
= j ,
= exp(j ), or approxiXj
Xj
Pi
mately exp(j ) 1 in percentage terms, and
= j Pi (1 Pi ).
Xj
(1) Marginal eects in the Logit model:
(2) Walds test statistic W =
(A r)? [A(X ? X)1 A? ]1 (A r)
2
Critical Values fr
Models for Binary Choices: Legit and Probit
The linear probability model is characterized by the fact that we model
Plsv=1|xd = 32.5
There are three main issues with the linear probability model: Can predict
probability which are negative or larger than o
Models for Binary Choices: Linear Probability Model
There are several situation in which the variable we want to explain can
take only two possible values. This is typically the case when we want to model
the choice of an individual. For example: choice o
Economics 3P90 Fall 2013
Assignment 2
Question 1 (The Linear Probability Model)
a) Non-Normality of the Disturbances ui: Similar to Yi, the disturbances ui take only two
values.
Heteroscedastic Variances of the Disturbances: The variance of the error term
ECON 3P90 Intermediate Econometrics
Practical Lab #2
Scripting in GRETL
January 20-21, 2014
Last week we used GRETL visual interface to estimate a simple linear regression model using OLS.
This lab introduces GRETL command line interface, and GRETL comman
Review Questions: Balanced vs. Unbalanced Growth
1.
To write in praise of lack of balance is evidently a provocation for which a price
must be paid. (A.O. Hirschman) Discuss.
2.
What was the rationale for proposals such as the big push and balanced growth
Brock University
Economics 3P90
Intermediate Econometrics
Ivan Medovikov
Course Review Notes
Important Notices
These notes provide a brief overview and summary of some of the topics covered in class.
They are NOT a complete collection of all of the examin
Economics 3P90 Fall 2013
Ivan Medovikov
Assignment 2: Solutions
Due: Tuesday, March 18, 2014 at 5:00 am
Instructions
The assignment contains three questions. Answer all questions fully. Deposit the assignments
before the due time into the assignment drop-