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 Growt
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 carefu
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 Varian
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
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]
Offic
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]
Offic
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
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
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
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.
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" f
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 G
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 unco
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 econ
Lecture 9:
Heteroskedasticity
Pure Heteroskedasticity
Pure heteroskedasticity occurs when Classical Assumption V
is violated (in a correctly specified equation!)
Recall, Classical Assumption V assum
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 multicolline
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
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
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 mo
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 coun
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 i
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 int
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.sourc
Economics 3P90 Fall 2016
Assignment 1 - Solutions
Due: On or before Friday, October 7, 2016 at 5:00 pm.
Instructions
The assignment contains three questions. Answer all questions fully. Deposit the as
Economics 3P90 Fall 2016
Assignment 1 - Solutions
Due: Friday, February 5, 2016 at or before 5:00 pm.
Instructions
The assignment contains two questions. Answer all questions fully. Deposit the assign
Economics 3P90 Winter 2016
Assignment 2 - Solutions
Due: Friday, March 11, 2016 at 5:00 pm
Instructions
The assignment contains four questions. Answer all questions fully. Deposit the assignment
befor
ECON 3P90 Intermediate Econometrics
Practical Lab #1
Introduction to GRETL
January 11, 2016.
Installing and Running GRETL
1. If GRETL is not installed, download and install it from http:/gretl.sourcef
Economics 3P90 Fall 2017
Assignment 2 - Solutions
Due: Friday, November 10, 2017 at 5:00 pm
Instructions
The assignment contains three questions. Answer all questions fully. Deposit the assignment
bef