Department of Economics
University of California, Irvine
Professor Dale J. Poirier
October 18, 2011
ANSWERS TO EXAM 1
ECON 123A
Econometrics I
Directions: You must answer each of the following questions. Points (out of 100) are allocated as
noted to the l
Department of Economics
University of California, Irvine
Professor Dale J. Poirier
October 19, 2010
EXAM 1
ECON 123A
Econometrics I
Directions: You must answer each of the following questions. Points (out of 100) are allocated as
noted to the left of each
Econ 123B
Winter 2015
Final Exam Practice Problems
C13.11. (i) Take changes as usual, holding the other variables fixed: math4it = 1log(rexppit)
= (1/100)[ 100log(rexppit)] (1/100)( %rexppit). So, if %rexppit = 10, then math4it =
(1/100)(10) = 1/10.
(ii)
ECON 123B
Winter 2015
Answer Key 2
I.
a. Problems 3 from Chapter 3
3.3 (i) If adults trade off sleep for work, more work implies less sleep (other things equal), so
1 < 0.
(ii) The signs of 2 and 3 are not obvious, at least to me. One could argue that mor
ECON 123B
Winter 2015
Answer Key 1
I.
3.2 (i) Yes. Because of budget constraints, it makes sense that, the more siblings there are
in a family, the less education any one child in the family has. To find the increase in the
number of siblings that reduces
Department of Economics
University of California, Irvine
Professor Dale J. Poirier
November 15, 2011
Answers to Exam 2
ECON 123A
Econometrics I
Directions: You must answer each of the following questions. Points (out of 100) are allocated as
noted to the
Department of Economics
University of California, Irvine
Professor Dale J. Poirier
November 16, 2010
EXAM 2
ECON 123A
Econometrics I
Directions: You must answer each of the following questions. Points (out of 100) are allocated as
noted to the left of eac
Department of Economics
University of California, Irvine
Professor Dale J. Poirier
November 7, 2011
ECON 123A
Econometrics I
Fall, 2011
SYLLABUS
Time and Location: ECON 220A meets Tuesday and Thursday, 2:00pm - 3:20pm, in ELH 110.
There will be two discus
Department of Economics
University of California, Irvine
Professor Dale J. Poirier
December 9, 2010
FINAL EXAM
ECON 123A
Econometrics I
Directions: You must answer each of the following questions. Points (out of 100) are allocated as
noted to the left of
ECON 123B
Winter 2015
Homework 4
Solve the following problems from Jeffrey Wooldridge, Introductory Economics: A Modern
Approach, 5th Edition.
I.
Problems 1,3,4,5 from Chapter 9
II.
Computer Exercise C3, C8 from Chapter 9
1
ECON 123B
Winter 2015
Homework 3
Solve the following problems from Jeffrey Wooldridge, Introductory Economics: A Modern
Approach, 5th Edition.
I.
Problems 4,5 from Chapter 8
II.
Computer Exercise C9 from Chapter 8
1
ECON 123B
Winter 2015
Homework 5
Solve the following problems from Jeffrey Wooldridge, Introductory Economics: A Modern
Approach, 5th Edition.
I.
Problem 2 from Chapter 10
Problem 5 from Chapter 11
II.
Computer Exercise C6 from Chapter 10
Computer Exercis
ECON 123B
Winter 2015
Answer Key 4
I.
9.1
There is functional form misspecification if 6 0 or 7 0, where these are the population
parameters on ceoten2 and comten2, respectively. Therefore, we test the joint significance of these
variables using the R-squ
ECON 123B
Winter 2015
Homework 6
Solve the following problems from Jeffrey Wooldridge, Introductory Economics: A Modern
Approach, 5th Edition.
I.
Problem 3,6 from Chapter 12
II.
Computer Exercise C1, C4 from Chapter 12
1
ECON 123B
Winter 2015
Answer Key 3
I.
8.4 (i) These coefficients have the anticipated signs. If a student takes courses where grades are, on
average, higher as reflected by higher crsgpa then his/her grades will be higher. The better the
student has been
ECON 123B
Winter 2015
Homework 2
Solve the following problems from Jeffrey Wooldridge, Introductory Economics: A Modern
Approach, 5th Edition.
I.
a. Problems 3 from Chapter 3
b. Problem 9 from Chapter 4
c. Problem 1 from Chapter 7
II.
Computer Exercise C1
ECON 123A, Fall 2015, Lecture 9
9-1
Dale J. Poirier
Lecture 9
Multiple Regression Analysis: Estimation
3.1 Regression The Model with Two Independent Variables
Example: Augment the wage regression example in Chapter 2 to
(3.1)
where exper is years of labor
ECON 123A, Fall 2015, Lecture 17
17-1
Dale J. Poirier
Lecture 17
Multiple Regression Analysis with Qualitative Information:
Binary (or Dummy) Variables
C
In previous chapters, the dependent and independent variables in our
multiple regression models have
ECON 123A, Fall 2015, Lecture 15
15-1
Dale J. Poirier
Lecture 15
Multiple Regression Analysis: Further Issues (cont.)
6.3 More on Goodness-of-Fit and Selection of Regressors
C
We have not focused much on the size of R2 in evaluating our regression
models,
ECON 123A, Fall 2015, Lecture 13
13-1
Dale J. Poirier
Lecture 13
Multiple Regression Analysis: OLS Asymptotics
C
In Chapters 3 and 4, we covered what are called finite (also small or
exact ) sampling properties of the OLS estimators in the population
mode
16-1
Components of Bayesian Analysis
C
Prior: f()
C
Likelihood (window): (; y)
C
Bayes Theorem: f(|y) % f() (; y)
Interval estimation follows directly from f(*y).
C
Loss functions: C(
C
Commandment: minimize expected posterior loss
C
Prediction of future
ECON 123A, Fall 2015, Lecture 14
14-1
Dale J. Poirier
Lecture 14
Multiple Regression Analysis: Further Issues
C
This chapter brings together several issues in multiple regression analysis
not covered in earlier chapters.
C
These topics are not as fundamen
ECON 123A, Fall 2015, Lecture 1
1-1
Dale J. Poirier
Welcome to ECON 123A !
Is this you?
https:/www.youtube.com/results?search_query=econ+grad+student
What is econometrics?
ECON 123A, Fall 2015, Lecture 1
1-2
Lecture 1
1. INTRODUCTION
The Origin of Econome