ECN 102 A01-A04: ANALYSIS OF ECONOMICS
NOTE: I am teaching both 102 A01-A04 (this class) and 102 B01-B04
Department of Economics, University of California - Davis
THE DEPARTMENT'S GOAL IS TO RETURN TO A PRE-COVID IN-PERSON
ACCORDINGLY, TEACHING WILL BE IN PERSON AND EXAMS WILL BE IN
CLASS. RECORDINGS WILL NOT BE AVAILABLE.
The text is Analysis of Economics Data: An Introduction
You can obtain a paperback version in one
of two ways.
- free from the UCD bookstore if you chose to participate in UCD
Equitable Access (cost $169 per quarter)
- for $25 plus shipping directly from Amazon
You can obtain a pdf version of the exact same text in the
- for $6.99 directly from Amazon
for a "Kindle replica book" (this can be read on a computer after
downloading Kindle Reader software from Amazon).
The statistical package used is Stata.
Stata is also available free in
university computer labs.
More conveniently, a
personal student license costs $48 (6
months), $94 (1 year); $225 (permanent copy).
Professor Colin Cameron
1124 Social Sciences and Humanities
Tues Thurs 10.30 - 11.50 a.m. Wellman 126
Instructor Office Hours:
Tuesday afternoon 3.30 - 5.00 pm in
office SSH 1124 In person only
Wednesday afternoon 3.30 - 5.00 pm in office SSH
1124 In person plus zoom
Kathya Tapia email@example.com
Office hours: Wednesday 11.00 am - 1.00 pm in SSH 0120 In
Rebecca Brough firstname.lastname@example.org
(1) Review univariate statistics and then focus on regression
analysis for the relationship between a single variable and one or
several explanatory variables.
Office hours: Monday 11.00 - 1.00
pm in SSH 0120 In
Discussion Sections in Hutchison 93:
A01: Tuesday 1.10 - 2.00 pm 93
A02: Tuesday 2.10 - 3.00
pm 93 Hutchison TA: Kathya Tapia
A03: Tuesday 3.10 - 4.00
pm 93 Hutchison
TA: Rebecca Brough
4.10 - 5.00 pm 93 Hutchison TA: Rebecca
(2) Apply these methods to key economics data using the econometrics
(3) Provide a bridge between introductory statistics and more
advanced data analysis courses, e.g. between Statistics 13 and
Economics 140. Pre-requisites:
Economics 1A-B, Statistics 13, 13Y or 32 and Math 16A-B or 17A-B
or 21A-B or consent of instructor.
The essential pre-requisites are exposure to introductory
lower-division courses in economics and statistics.
Relationship to Economics 140
Economics 140 (Econometrics) is a more advanced course that also
covers the methods of Economics 102.
Economics 140 has Economics 102 or Statistics 108 as a
For more on possible data classes see http://cameron.econ.ucdavis.edu/e102/morestat.html
Topical Outline by Lecture Number:
The text is A. Colin Cameron, Analysis of Economics Data: An
Introduction to Econometrics.
A. UNIVARIATE: Analysis of a single economics variable
Lecture 1: Introduction and getting going on Stata (chapter
1 + Stata http://cameron.econ.ucdavis.edu/stata/stata.html).
Lecture 2: Summarizing data using descriptive statistics and
visualizing data using charts (chapter 2.1-2.6)
Lecture 3: The sample mean (chapter 3.1-3.6 and appendix B)
Lecture 4: Statistical inference based on the sample mean
using estimation and confidence intervals (chapter 4.1-4.3)
Lecture 5: Statistical inference based on the sample mean
using hypothesis tests (chapter 4.4-4.7)
B. BIVARIATE REGRESSION: The relationship between two
Lecture 6: Bivariate data summary: scatter plots,
correlation and regression (chapter 5.1-5.5)
C. MULTIPLE REGRESSION: The relationship between
more than two economic variables
Lecture 7: ***** First midterm exam *****
Lecture 8: Bivariate data summary: regression, goodness of fit
Lecture 9: The least squares estimator (chapter 6.1-6.4)
Lecture 10: Statistical inference on regression coefficients
Lecture 11: Bivariate case studies (chapter 8.1)
Lecture 12: Models with natural logarithms (chapter 9.1-9.6)
Lecture 13: ***** Second midterm exam *****
Lecture 14: Multiple regression (chapter 10.1-10.8)
Lecture 15: Inference for multiple regression (chapter 11.1-11.7)
Lecture 16: Various: Robust errors (ch.12.1), prediction (ch 12.2),
case study (ch. 13.1)
Lecture 17: Indicator Variables (chapter 14.1-14.4)
Lecture 18: Regression with transformed variables (chapter
Lecture 19: Checking the Model and Data (chapter 16.1-16.8)
Lecture 20: Review.
A. Colin Cameron, Analysis of Economics Data: An Introduction
The text is available from Amazon
for $25 paperback or $6.99 for a Kindle replica book.
A Kindle replica book is just a pdf but requires downloading the Kindle
App to your PC, Mac, Android or iOS.
Copies of the text are also on Reserve at the Library.
Slides for the course text are available at http://cameron.econ.ucdavis.edu/aed/
The datasets and Stata programs used in the course text are at http://cameron.econ.ucdavis.edu/aed/
The course Canvas site has assignments under Files/ Homeworks.
Assignments should be uploaded to Canvas under Assignments.
The website http://cameron.econ.ucdavis.edu/e102/e102.html
has past exams and solutions and some links to Stata material.
There are usually free tutors for 102: see http://economics.ucdavis.edu/undergrad-program/tutoring
The Khan Academy has excellent video tutorials and exercises. See
||Chapters 1-4, Appendix B
|B. Bivariate Regression
|C. Multiple Regression
||Chapters 10-11, 12.1, 12.2, 13.1, 14-16
These are held in a university computer lab in Hutchison 93.
Computer Materials: Assignments use Stata.
Stata is installed in 93 Hutchison, 2101 SCC, and the Virtual
Lab (after 2060 SciLab closes - see https://virtuallab.ucdavis.edu)
whether 93 Hutchison and 2101 SCC
are available see https://computerrooms.ucdavis.edu/available/.
I strongly recommend purchasing Stata. It will make it much
easier to implement and learn Stata.
Stata can be purchased at https://www.stata.com/order/new/edu/gradplans/student-pricing/
Stata/BE is more than adequate and for a student license costs
$48 (6 months), $94 (1 year); $225 (permanent copy).
Note that ECN140 and some other courses such as ECN 132 also
Older versions of Stata are fine.
To install Stata after it is
To get started in Stata see http://cameron.econ.ucdavis.edu/stata/stata.html
(1) Choose the correct operating system (e.g. Windows or Mac);
(2) Choose the correct version of Stata - the student price
version is Stata/IC;
(3) When you first run Stata after installation it will ask
for an "authorization code".
These codes are given in a pdf attachment you will received in
the email from Stata following purchase (some are lengthy and
it is easiest to cut and paste them in).
This video provides directions: Connect_virtual_lab_and_start_Stata.mp4
The best ways to succeed in this class are
Assignments and Exams:
- Read the chapters in the text before lecture
- Come to lecture and take notes.
- Try the homework assignments on your
- Go to discussion section where the TA
will go over the homework and ask questions
- Do end-of-chapter exercises and past exams, again
without looking at your notes.
20% Due 10.00 a.m. Fridays September 30; October 7, 21, 28; November 18; December 2.
20% Thursday October 13
Midterm Exam2: 20%
Thursday November 3
December 8 6.00 p.m.- 8.00 p.m.
Comprehensive (about half on material up to 2nd
midterm and about half the remainder).
Assignments: are posted
on Canvas under Files / Homeworks. My solutions will also be
Assignments solutions by you are to be
posted (as a pdf) on Canvas under Files / Assignments.
Assignments will generally
be graded satisfactory (4 points) or unsatisfactory (0 points);
very occasionally partial credit will be given.
Satisfactory means a serious attempt to answer at least 80% of the
questions.Full solutions will
The lowest of the scores on the six assignments is dropped, i.e.
no penalty for not handing in one assignment if the other five are
graded satisfactory. No credit for late assignments.
Academic honesty is required - see below.
Exams are closed book with a mixture of short
answer (about two-thirds) and multiple choice (about one-third)
Some past exams and solutions are posted on Canvas.
FOR EXAMS YOU NEED TO BRING STUDENT PHOTO ID. I
WILL DECIDE WHERE TO SEAT YOU. YOU
CANNOT USE YOUR OWN CALCULATOR OR SMARTPHONE -
CALCULATORS WILL BE PROVIDED.
Scores are posted at Canvas. You have one
week from when work is first returned in class to
raise any questions about grading.
AFTER THE FINAL EXAM IS
TAKEN NO CHANGES WILL BE MADE
FOR ANY REASON TO ANY SCORES RECORDED ON CANVAS.
Note that there is no automatic conversion
formula such as an 85 is a B. Instead if 85 was the
median (middle) score among all students who took the
class then you would get the median grade which is most
often B-. To let you know how you are going on each exam
I give the distribution of the scores for the exam along
with a "suggestive" grading curve. But the course grade
is based on a course curve.
Course grade is determined by the total score, with weights
given above. The assignments are graded on a
generous scale (satisfactory or unsatisfactory), so most students
will get full credit on the assignment portion. Therefore for most
students the course score is determined by scores on the exams.
To indicate your progress I give a grade on each midterm. But the
final grade is determined by summing the exam and assignment
scores (and not by averaging the grades).
THE FINAL EXAM IS TAKEN NO CHANGES WILL BE MADE FOR ANY
REASON TO ANY SCORES RECORDED ON CANVAS.
Academic Honesty: Academic dishonesty is
unfair to the majority of students who are honest. To that end the
Davis Division of the U.C. Faculty Senate has the following
(1) All undergraduate and graduate course
outlines (syllabi) should list or provide a link to the U.C.
Davis Code of Academic Conduct which is at
. This provides many leading examples of academic misconduct.
You should read this.
(2) One specific example of academic honesty is copying from
solutions to assignments given in previous 102 courses.
(3) If an instructor has a reasonable suspicion of academic
misconduct, whether admitted by the student or not, the instructor
shall report the matter to the Office of Student Support and
(4) The instructor has authority to determine a grade penalty when
academic misconduct is admitted or is determined by adjudication
to have occurred; with a maximum grade penalty of “F” for the
Note that Student Support and Judicial Affairs may separately
impose sanctions for academic misconduct, including community
service, suspension and dismissal.
Out of class collaboration: You are allowed to work
together in groups for the assignments, but each student must turn
in an individual solution.
You are to indicate on the solution the names of the other
students you worked with, if any that you worked with you on the
For Stata, each person must create their own Stata output and
write up their own answers.
It is not a violation of this policy to submit
essentially the same answer on an assignment as another student,
but it is a violation of this policy to submit a close to exact or
The most common form of academic misconduct in Economics 102
is copying from past assignment solutions or copying (close to exact or exact) from
other students. The most common penalty for doing so (in
addition to reporting to SSJA) will be to receive zero for
that assignment and additionally having your course grade
reduced by one grade (examples: a B becomes a C, or a B-
becomes a C-).