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 questio
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 ar
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
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 f
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
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 questi
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
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
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. Poi
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
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
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 f
ECON 123A, Fall 2015, Lecture 8
8-1
Dale J. Poirier
Lecture 8
Simple Regression
2.1 Definition of the Simple Regression Model
Questions:
C A state implements tough new penalties on drunk drivers. What
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 th
ECON 123B
Winter 2015
Answer Key 5
I.
10.2 We follow the hint and write
gGDPt-1 = 0 + 0intt-1 + 1intt-2 + ut-1,
and plug this into the right-hand-side of the intt equation:
intt = 0 + 1(0 + 0intt-1 +
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,
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
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 exam
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 indepe
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
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
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: m
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
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, Lectur