Econ 466 Spring 2013
Homework 2
1. Consider the following formulation of the twovariable regression:
Model I: Yi = 1 + 2 Xi + ui
Model II: Yi = 1 + 2 (Xi X) + ui
(i) Find the estimators of 1 and 1 . Are they identical? Are the variances identical?
(ii) F
Homework 2 Answer Key
1. i.
and
( )
( )
( )
and
)
(
. They are not identical
(
)
( )
They are not identical.
)(
(
ii.
)
( )
( )
)
They are identical.
)
(
. They are identical.
)
(
)(
(
and
)
(
iii. Model II may be easier to compute without statisti
Homework 1 Answer Key
1 (i) $566.
(ii) The two middle numbers are 480 and 530; when these are averaged, we obtain 505, or $505.
(iii) 5.66 and 5.05, respectively.
(iv) The average increases to $586 while the median is unchanged ($505).
2. (i) This is just
ECON 466  INTRODUCTION TO ECONOMETRICS
Spring 2015
Instructor: Professor Subal Kumbhakar
Class Room: SL 306
Office: Library Tower # 1009
Class Time: M 10:5012:50, W 10:5011:50
Office Hours: M 9:4010:40, W 9:4010:40, 12:201:20
Phone: 74762, Email:
Homework 6 Answer Key
1. The estimated equation is:
i.
The coefficient on black implies that, at given levels of the other explanatory variables,
black men earn about 18.8% less than nonblack men. The t statistic is about 4.95, and so
it is very statisti
Economics 466Introduction to EconometricsExam II
Instructions:
Answer all questions clearly. Do not write anything irrelevant. No partial credit will be
given for insucient answers. Each question carries the point value as indicated within
parentheses. Th
Economics 466: Introductory Econometrics
State University of New York at Binghamton
Department of Economics
Fall 2011
Midterm I
The exam consists of three questions on three pages. Each question is of equal value.
1. Consider the residuals obtained via an
ECON 466/502
Fall 2013
HW#4
(Due in class on Tuesday, October 8, 2012)
Show your work.
If rounding is needed, round to four places, that is, to the nearest ten thousandth .
1. Consider each of the following statements separately. Is the statement true or
Exam II:
Econ 466
Yoon 32614
Student Name: _ Use the back page if you need
more space.
Justify your answers by showing your work. You assume all the assumptions of
the standard linear model .
1. The true regression model is y = 0 + 1 1 + 2 2 + + + and t
Econ 466 Spring 2016
Homework 3 Answer Key
1. Use the data in SLEEP75.RAW from Biddle and Hamermesh (1990) to study whether
there is a tradeoff between the time spent sleeping per week and the time spent in
paid work. We could use either variable as the d
Econ 466 Spring 2013
Homework 2
1. Consider the following formulation of the twovariable regression:
Model I: Yi = 1 + 2 Xi + ui
Model II: Yi = 1 + 2 (Xi X) + ui
(i) Find the estimators of 1 and 1 . Are they identical? Are the variances identical?
(ii) F
Econ 466 Spring 2016
Homework 2 Answer Key
1. Consider the following formulation of the twovariable regression:
Model I: Yi = 1 + 2 Xi + ui
+ ui
Model II: Yi = 1 + 2 (Xi X)
(i) Find the estimators of 1 and 1 . Are they identical? Are the variances ident
Fall 2002
Econ 466
Midterm Examination 1
Total points: 100
Time: 1 hour and 15 minutes
Name (print) _
SS# _
Answer all questions. Write clearly and legibly. Good Luck!
1. A sample of 60 observations on household expenditures for natural gas and
electricit
Econ 466 Spring 2016
Homework 3
1. Use the data in SLEEP75.csv from Biddle and Hamermesh (1990) to study whether
there is a tradeoff between the time spent sleeping per week and the time spent in
paid work. We could use either variable as the dependent va
APPENDIX B
SOLUTIONS TO PROBLEMS
B.1 Before the student takes the SAT exam, we do not know nor can we predict with certainty
what the score will be. The actual score depends on numerous factors, many of which we
cannot even list, let alone know ahead of
APPENDIX E
SOLUTIONS TO PROBLEMS
E.1 This follows directly from partitioned matrix multiplication in Appendix D. Write
X =
Therefore, XX =
x1
x 2
M
x n
and Xy =
n
xx
t
,X = (
K
x
n
), and y =
y1
y 2
M
y n
. An equivalent expression for
n
Econ 466 Spring 2016
Homework 2
1. Consider the following formulation of the twovariable regression:
Model I: Yi = 1 + 2 Xi + ui
+ ui
Model II: Yi = 1 + 2 (Xi X)
(i) Find the estimators of 1 and 1 . Are they identical? Are the variances identical?
(ii)
APPENDIX C
SOLUTIONS TO PROBLEMS
C.1 (i) This is just a special case of what we covered in the text, with n = 4: E(
Y
) = and Var(
) = 2/4.
Y
(ii) E(W) = E(Y1)/8 + E(Y2)/8 + E(Y3)/4 + E(Y4)/2 = [(1/8) + (1/8) + (1/4) + (1/2)] = (1 +
1 + 2 + 4)/8 = , which
Econ 466 Spring 2016
Homework 4 Answer Key
1. The data in WAGE2.csv on working men was used to estimate the following equation:
d = 10.36 0.094sibs + 0.131meduc + 0.210f educ
educ
n = 772, R2 = 0.214
where educ is years of schooling, sibs is number of sib
Econ 466 Spring 2013
Homework 4
1. Consider an equation to explain salaries of CEOs in terms of annual rm sales, return
on equity, (roe, in percentage form), and return on the rms stock (ros, in percentage form):
log(salary) = 0 + 1 log(sales) + 2 roe + 3
Econ 466 Spring 2013
Homework 4
1. Consider an equation to explain salaries of CEOs in terms of annual rm sales, return
on equity, (roe, in percentage form), and return on the rms stock (ros, in percentage form):
log(salary) = 0 + 1 log(sales) + 2 roe + 3
Econ 466 Spring 2011
Homework 6
(Due date: April 4)
1. Use the data in WAGE2.RAW for this exercise.
(i) Estimate the model
log(wage) = 0 +1 educ+2 exper+3 tenure+4 married+5 black+6 south+7 urban+u
and report the results in the usual form. Holding other f
Econ 466 Spring 2016
Homework 5 Answer Key
1. Consider an equation to explain salaries of CEOs in terms of annual firm sales, return
on equity, (roe, in percentage form), and return on the firms stock (ros, in percentage form):
log(salary) = 0 + 1 log(sal
Econ 466 Spring 2010
Homework 5
(Due date: March 18th.)
1. Using the data in RDCHEM.RAW, the following equation was obtained by OLS:
(i) At what point does the marginal eect of sales on rdintens become negative?
(ii) Would you keep the quadratic term in t
CHAPTER 11
TEACHING NOTES
Much of the material in this chapter is usually postponed, or not covered at all, in an introductory
course. However, as Chapter 10 indicates, the set of time series applications that satisfy all of the
classical linear model ass
Econ 466 Spring 2010
Homework 5 Answer Key
1. Using the data in RDCHEM.RAW, the following equation was obtained by OLS:
(i) At what point does the marginal eect of sales on rdintens become negative?
The turnaround point is given by 1 /(22 ), or .0003/(.
Chapter 5 Review Sheet Internal Control and Cash
Components of Internal Control
(1) Control Environment
(2) Risk Assessment
(3) Control Activities
(4) Information and Communication
(5) Monitoring
Bank Reconciliation
*The purpose is to make sure that
April 21, 2015
Social Influences
COMPLIANCE
 Getting people to do what you want them to do without the threat of punishment
Factors the influence willingness to comply:
 Status of the requestor Obama asking for something vs. person on the street asking
Notes for Psych 111
12 February 2015
Ethology
1.
2.
3.
4.
NATURE VS NUTURE CONT.
Study of speciesspecific behaviors
Fixed Action Patterns/Sign Stimuli
Pavlov and Skinner tabla rasa
Ethologists predispositions and constraints
a. Believe there is a strong
Some general suggestions:

Do not open a paper with platitudes like Philosophers have long pondered or
Since the beginning of human history, people have wondered
Do not say I feel or I think that How you feel is not relevant to the paper,
and if you writ
Econ 35001
Fall 2016
Kenny Christianson
due: November 30
ASSIGNMENT FOUR
1. To finish up with Bernankes lecture series about the role of the Fed in the financial
crisis, please view the final video at:
http:/www.federalreserve.gov/newsevents/lectures/the