Economics 4950
Problem Set Three
1.
1a.
The file calschool.xls contains data on average student test scores and the demographic characteristics of
students in 420 school districts located in California. A complete description of the data can be found in
t
Estimators and Sampling Distributions
Overview
Over the last few lectures we have focused on how to describe the distribution of random
variables. For example, how do we characterize the distribution of wages, grades, stock prices or
housing values? Our f
Multivariate Regression Analysis
The Model
Multivariate regression analysis is perhaps the most commonly used tool in applied economic and
business analysis. It's wide spread use is due to the fact that it allows the researcher to impose the Ceteris
Parib
Economics 4950
Problem Set One
1.
Why are housing prices and incomes usually summarized by medians rather than means?
2.
Jenn owns a gourmet coffee house. Jenns total revenue varies from year to year due to the weather and
several economic factors. Based
Case study 1: Pelican Stores
Pelican Stores, a division of National Clothing, is a chain of womens apparel stores operating through
out the country. The chain recently ran a promotion in which discount coupons were sent to customers
of other National Clot
Statistical Inference:
Confidence Intervals and Hypothesis Testing
Overview
In the last section we discussed estimators and sampling distributions. In this section we discuss
how to make statements about how close the point estimate provided by a sample i
Economics 4950
Problem Set Two
1.
A college admissions officer for an M.B.A. program has determined that historically, applicants have
undergraduate grade point averages that are normally distributed with a population standard deviation of
0.45. From a ra
ECON4950 Problem Set 1
Georgia State University
Questions on Background Material
1. A random sample of 22 businessa economists were asked to predict the
percentage growth in the consumer price index over the next year. The
forcasts were:
3.6, 3.1, 3.9, 3.
CHAPTER 1
TEACHING NOTES
You have substantial latitude about what to emphasize in Chapter 1. I find it useful to talk about
the economics of crime example (Example 1.1) and the wage example (Example 1.2) so that
students see, at the outset, that econometr
CHAPTER 8
TEACHING NOTES
This is a good place to remind students that homoskedasticity played no role in showing that
OLS is unbiased for the parameters in the regression equation. In addition, you probably should
discuss how there is nothing wrong with t
CHAPTER 4
TEACHING NOTES
At the start of this chapter is good time to remind students that a specific error distribution
played no role in the results of Chapter 3. That is because only the first two moments were
derived under the full set of GaussMarkov
CHAPTER 7
TEACHING NOTES
This is a fairly standard chapter on using qualitative information in regression analysis, although
I try to emphasize examples with policy relevance (and only crosssectional applications are
included.).
In allowing for different
APPENDIX E
SOLUTIONS TO PROBLEMS
E.1 This follows directly from partitioned matrix multiplication in Appendix D. Write
x1
x
X = 2 , X = ( x1 x2 xn ), and y =
xn
n
Therefore, XX =
xx
t =1
t
n
t
and Xy =
x y
t =1
t
t
y1
y2
yn
. An eq
CHAPTER 2
TEACHING NOTES
This is the chapter where I expect students to follow most, if not all, of the algebraic derivations.
In class I like to derive at least the unbiasedness of the OLS slope coefficient, and usually I
derive the variance. At a minimu
APPENDIX D
SOLUTIONS TO PROBLEMS
0 1 6
2 1 7
=
D.1 (i) AB =
1 8 0
4 5 0
3 0 0
20
5
6
12
36 24
(ii) BA does not exist because B is 3 3 and A is 2 3.
D.2 This result is easy to visualize. If A and B are n n diagonal matrices, then AB is an n n
di
CHAPTER 10
TEACHING NOTES
Because of its realism and its care in stating assumptions, this chapter puts a somewhat heavier
burden on the instructor and student than traditional treatments of time series regression.
Nevertheless, I think it is worth it. It
CHAPTER 9
TEACHING NOTES
The coverage of RESET in this chapter recognizes that it is a test for neglected nonlinearities,
and it should not be expected to be more than that. (Formally, it can be shown that if an omitted
variable has a conditional mean tha
CHAPTER 3
TEACHING NOTES
For undergraduates, I do not work through most of the derivations in this chapter, at least not in
detail. Rather, I focus on interpreting the assumptions, which mostly concern the population.
Other than random sampling, the only
I, Introduction
Petroleum resources are the most important resource of the countries which
have natural gas and oil. They contribute to promoting economic growth as well as
raising the national income to the country. Currently, the oil consumption (84.3
m
Statistics for
Business and Economics
Chapter 3
Probability
Chapter Goals
After completing this chapter, you should be
able to:
Explain basic probability concepts and definitions
Use a Venn diagram or tree diagram to illustrate
simple probabilities
App
Statistics for
Business and Economics
Chapter 5
Continuous Random Variables
and Probability Distributions
Chapter Goals
After completing this chapter, you should be
able to:
Explain the difference between a discrete and a
continuous random variable
Descri
Statistics for
Business and Economics
Chapter 6
Sampling and
Sampling Distributions
Chapter Goals
After completing this chapter, you should be able to:
Describe a simple random sample and why sampling is
important
Explain the difference between descript
Statistics for
Business and Economics
Chapter 2
Describing Data: Numerical
Chap 21
Chapter Goals
After completing this chapter, you should be able to:
Compute and interpret the mean, median, and mode for a
set of data
Find the range, variance, standard d
Statistics for
Business and Economics
Chapter 1
Describing Data: Graphical
Chapter Goals
After completing this chapter, you should be able to:
Explain how decisions are often based on incomplete
information
Explain key definitions:
Population vs. Sample
Statistics for
Business and Economics
Chapter 8
Estimation: Additional Topics
Chapter Goals
After completing this chapter, you should be able to:
Form confidence intervals for the mean difference from dependent
samples
Form confidence intervals for the di
Statistics for
Business and Economics
Chapter 9
Hypothesis Testing
Chapter Goals
After completing this chapter, you should be
able to:
Formulate null and alternative hypotheses for
applications involving
a single population mean from a normal distribution
NATIONAL ECONOMICS UNIVERSITY
CENTER FOR ADVANCED
EDUCATIONAL PROGRAMS

SOCIALIST REPUBLIC OF VIETNAM
Independence Freedom Happiness

SYLLABUS
Course name:
1. MODULE PROFILE
Business Stsatistics
Course code:
IS310
Credit: 3
Term 2
Class: Advanced Progra
Statistics for
Business and Economics
Chapter 10
Hypothesis Testing: Additional Topics
Chapter Goals
After completing this chapter, you should be able to:
Test hypotheses for the difference between two population means
Two means, matched pairs
Independent
Statistics for
Business and Economics
Chapter 4
Discrete Random Variables and
Probability Distributions
Chap 41
Chapter Goals
After completing this chapter, you should be
able to:
Interpret the mean and standard deviation for a
discrete random variable
Econ 4950 Quiz 1
Group#:
Group Members Names (only if present):
Question 1 (25 points)
a. Suppose GSU canteen wishes to calculate the impact of a price (p) increase for
the quantity (q) of standard prepacked boxes for lunch by the following
logarithmic f
ECON 4950: Econometrics and Applications
Homework #1 Solution
1. The following table displays data on annual solid waste collection for nine cities in the U.S.
The data includes information on the number of households in the city, the total tons of solid
PRACTICE EXAM 1  ECON 4950
Question 1
Homework 1
Question 2
The following table contains data for 6 people employed in Atlanta. Information is available on
each persons wage (variable wage), along with information on the education level of each
person (v
ECON 4950: Econometrics and Applications
Homework #1
Due Date: Monday, October 3, 2016 (in class)
General Instructions: Read all the instructions before you start working the problems. Please
show all your work, and attach your STATA log file for the comp