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 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
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
Brock University
St. Catharines, Canada
Department of Economics
Economics 3P90 Winter 2015
ECONOMETRICS
Course Outline
Course instructor: Ivan Medovikov
January 2015
E-mail: [email protected]
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: [email protected]
Office: Plaza Building, Room 429
Office Hours: Tuesdays, Thu
ECON 3P90 Intermediate Econometrics
Practical Lab #7
The Logit Model
November 17, 2014
Last week we reviewed the logit model and discussed its estimation.
This lab introduces the logit estimation in GRETL.
Gretl Built-In Logit Solver
1. Load the Table 15.
ECON 3P90 Intermediate Econometrics
Practical Lab #8
Panel Data
November 24, 2014
This lab looks at panel data methods in GRETL in more detail.
1. Load the goalsdata.gdt dataset from the "Resources" folder of course web-site.
The data are a panel of ten p
ECON 3P90 Intermediate Econometrics
Practical Lab #5
Maximum Likelihood Estimation in GRETL
October 20, 2014
Last week we reviewed the estimation of non-linear regression models using NLLS as well as the
method of maximum likelihood (MLE). This lab shows
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
ECON 3P90 Intermediate Econometrics
Practical Lab #6
The Linear Probability Model
November 10, 2014
Up until this point in the course, every model we looked at had one feature in common: the dependent
variable Yi was a number. This may not always be the c
ECON 3P90 Intermediate Econometrics
Practical Lab #4
Testing Linear Restrictions (Wald's Test) and Estimating Non-Linear Models in
GRETL
October 6, 2014
This lab introduces multiple hypothesis testing (Wald's test), and non-linear model estimation in
GRET
ECON 3P90 Intermediate Econometrics
Practical Lab #1
Introduction to GRETL
September 15, 2014.
Installing and Running GRETL
1. If GRETL is not installed, download and isntall it from http:/gretl.sourceforge.net/
2. Start GRETL
Workspace Check-Out
3. Take
ECON 3P90 Intermediate Econometrics
Practical Lab #2
Scripting in GRETL
September 22, 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 command
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
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 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
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
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 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 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 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
ECON 3P90 Intermediate Econometrics
Practical Lab #3
Importing External Data Into GRETL
September 29, 2014
This lab shows how external data can be imported into GRETL.
Textbook-supplied data are good for learning the basic econometric methods. In applied
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 - Additional Practice Questions
Ivan Medovikov
Brock University
March 13, 2017
Question 1 - Interaction Terms Youve been hired as a consultant to do data analytics
for an online retailer. The retailer has been testing an alternative check-o
ECON 3P90 Intermediate Econometrics
Practical Lab #4
Vector OLS in GRETL
1 February, 2016
This lab introduces shows how to obtain OLS estimates in GRETL using the matrix approach.
Suppose you have data on house prices ($ in thousands) and floor area (sqft
Economics 3P90 Winter 2016
Assignment 3
Due: Friday, April 8, 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
Economics 3P90 Fall 2015
Assignment 1
Due: Monday, February 5, 2016 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-off box at Plaza
Economics 3P90 Winter 2014
Assignment 3 - Solutions
Due: Friday, April 8, 2016 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
ECON 3P90 Intermediate Econometrics
Practical Lab #2
Scripting in GRETL
January 18, 2016
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 command s
Economics 3P90 Winter 2016
Assignment 2
Due: Friday, March 11, 2016 at 5:00 pm
Instructions
The assignment contains four questions. Answer all questions fully. Deposit the assignment
before the due time into the assignment drop-off box at Plaza Room 451.
BROCK UNIVERSITY
DEPARTMENT OF ECONOMICS
ECONOMICS 3P90
MIDTERM 2
Wednesday, November 16, 2016, 9:30 - 10:50 am
Time Allowed: 80 minutes
Name:
Student ID:
Please read the following instructions carefully before you begin.
(1) This is an 80 minute, closed-
Economics 3P90 Winter 2016
Assignment 2 - Solutions
Due: Friday, November 11, 2016 at 5:00 pm
Instructions
The assignment contains three questions. Answer all questions fully. Deposit the assignment
before the due time into the assignment drop-off box at
Economics 3P90 Winter 2016
Assignment 2
Due: Wednesday, March 15, 2017 at 5:00 pm
Instructions
The assignment contains three questions. Answer all questions fully. Deposit the assignment
before the due time into the assignment drop-off box at Plaza Room 4
Economics 3P90 Winter 2016
Assignment 3
Due: Friday, April 7, 2017 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
DEPARTMENT OF ECONOMICS
ECONOMICS 3P90
MIDTERM 1 - SOLUTIONS
Wednesday, October 19, 2016, 9:30 - 10:50 am
Time Allowed: 80 minutes
Name:
Student ID:
Please read the following instructions carefully before you begin.
(1) This is an 80 minu