Name _
Econ 3720
Final Exam
Spring 2010
1) In the regression below an individual is trying to explain attendance at major league
baseball games. The data set contains information on the 26 teams in major league
baseball in the US in 1978. Here are the var
Name _
Midterm
Spring 2010
Econ 3720
1) The following data was gathered in 2002 on a sample of 49 used Honda Accords
from a web site for used cars. In reading the information below, it is helpful to know
that Honda has a limited number of option packages.
ECON 3720 INTRODUCTION TO REGRESSION ANALYSIS
Prof. Ron Michener
University of Virginia
Lab #4
The research question here is whether spending on education has a positive impact on student
learning, as measured by the SAT. For motivation, read the attached
University of Virginia
Fall Semester 2011
Economics 3720
Econometrics: the theory and practice of
economic data analysis
Lecture
Tuesdays and Thursdays, 12:30-1:45 and 2:00-3:15pm
Monroe Hall 130
Instructor
Professor James Harrigan, [email protected]
Lab 7 Rough Draft
This lab uses two different data sets focusing on detecting and coping with
multicollinearity. Part I uses a small subset of data from one of the most
famous regression
analyses of all time, Equality of Educational Opportunity, by James
Lab 6 Rough Draft
Step I: Our chief goal will be to model the demand for housing. Begin by defining some new variables.
First compute real income by dividing nominal income by the price index; then compute the natural
log of real income and name this vari
Notes on Chapter 1 (August 25th):
Econometrics economic measurement that is the quantitative measurement and
analysis of actual economic and business phenomena
Three major uses:
o Describing reality
o Testing hypothesis about economic theory and policy
Lab 4 Rough Draft
Step I: We will be explaining Pricei with the remaining variables. Modeli and
Carmax_outleti are going to require sets of dummy variables. However, at the moment, the
data given to you are string variables. Recode these as numerical vari
Lab 11 Final Copy
ECON 3720 INTRODUCTORY ECONOMETRICS
Prof. Ron Michener
University of Virginia
The problem set deals with instrumental variables and simultaneous
equations. The data set was gathered by Kathryn Graddy, who studied the
Fulton Fish Market i
Lab #5
The research question here is whether spending on education has a positive
impact on student learning, as measured by the SAT. For motivation, read the
attached article, Meaningless Money Factor, by George Will from the
Washington Post, September 1
ECON 3720
University of Virginia
Ron Michener
Lab #10
This assignment is an exercise in estimating probabilities using both the
linear probability model, logit, and probit. You will gain experience in how
to handle a dummy dependent variable.
The data set
Professor Michener
ECON 3720
10 November 2016
Lab 9 Rough Draft
ECON 3720 INTRODUCTION TO REGRESSION ANALYSIS
Prof. Ron Michener
University of Virginia
The problem set deals with determinants of housing prices. The data set you
will analyze today concerns
04 November 2016
Lab 8 Rough Draft
Speedlaw Beltlaw
pctfatal Speedlaw spdlaw Beltlaw
ECON 3720 INTRODUCTION
TO REGRESSION ANALYSIS
Lab 8
Prof. Ron Michener
University of Virginia
The lab investigates the effects of certain safety laws on the number of tra
In early June 2013, I gathered 120 observations on used Honda Accords being sold by
Carmax in Virginia and Maryland. We are going to use this data to predict the selling price of
these used Hondas. You have the following variables:
Pricei = the price in d
ECON 3720 INTRODUCTION TO REGRESSION ANALYSIS
University of Virginia
LABORATORY ASSIGNMENT #2
Group 19
Liu, Ziding zl6nc
Ma, Bowei bm2tc
Hart, Kevin kth3gx
Cesaratto, Bianca bcc5ph
Freshcorn, Bryce bcf4kv
Step 1
The Literature Review
Sources:
1. Ben Lakhd
Name _
Econ 3720
Final Exam
Spring 2010
1) Return now to the problem of explaining attendance at major league baseball games.
The data set contains information on the 26 teams in major league baseball in the US
in 1978. Here are the variable names and def
Econ 3720 Studenmund formula sheet
Yi 0 1 X 1i 2 X 2i K X Ki i
e Y Y
i
i
i
(1.13)
(1.17)
i Yi E Yi X i
(1.18)
Yi 0 1 X 1i 2 X 2i K X Ki
(1.19)
N
1
X
i 1
i
X Yi Y
N
X
i 1
X
i
(2.4)
2
0 Y 1 X
(2.5)
Y Y Y Y e
e
R 1
Y Y
e N K 1
R 1
Y Y N 1
2
2
i