Meeting:
Tues Thurs 1.40  3.00 p.m. Wellman 106
Instructor Office Hours:
Tuesday afternoon 3.30  5.00
pm in office SSH 1124 (including 4.155.00 pm by Zoom)
Wednesday afternoon 3.30  5.00 pm in office SSH 1124
(including 4.155.00 pm by Zoom)
Teaching Assistants:
Baiyu Zhou baizhou@ucdavis.edu
Office hours by zoom: Thursday 11.00 am  noon
Office hours in person: Thursday Noon  1.00 pm in SSH 120
Hyundo Joo hdjoo@ucdavis.edu
Office hours by zoom: Wednesday 12.00  1.00 pm
Office hours in person: Wednesday 1.00  2.00 pm in SSH 120
Discussion Sections:
B01: Wednesday 4.10  5.00
pm 93 Hutchison TA: Baiyu
Zhou
B02: Wednesday 5.10  6.00 pm
93 Hutchison TA: Baiyu Zhou
B03: Wednesday
2.10  3.00 pm 93 Hutchison
TA: Hyundo Joo
B04: Wednesday
3.10  4.00 pm 93 Hutchison TA:
Hyundo Joo
Course Goals:
Prerequisites:
Economics 1AB, Statistics 13 or 32 and Math 16AB or consent of
instructor.
The essential prerequisites are exposure to introductory
lowerdivision 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
prerequisite.
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.
The first four chapters are posted on Canvas / Files and the
remainder will be made available later.
For all topics an essential ingredient is that
economics data be analyzed throughout. This includes some case
studies.
For some chapters we will not cover the entire chapter. The key
sections will be announced as we go along.
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)
Lecture 3: The sample mean (chapter 3, appendix A)
Lecture 4: Statistical inference based on the sample mean
using estimation and confidence intervals (chapter 4.14.3)
Lecture 5: Statistical inference based on the sample mean
using hypothesis tests (chapter 4.44.7)
B. BIVARIATE REGRESSION: The relationship between two
economic variables
Lecture 6: Bivariate data summary: scatter plots,
correlation and regression (chapter 5.15.5)
Lecture 7: ***** First midterm exam *****
Lecture 8: Bivariate data summary: regression, goodness of fit
(chapter 5.55.12)
Lecture 9: The least squares estimator (chapter 6)
Lecture 10: Statistical inference on regression coefficients
(chapter 7)
Lecture 11: Bivariate case studies (chapter 8)
Lecture 12: Models with natural logarithms (chapter 9)
Lecture 13: ***** Second midterm exam *****
A. Colin Cameron, Analysis of Economics Data: An Introduction
to Econometrics.
Relevant chapters will be posted at the Canvas course site.
The datasets and Stata programs used in the course notes are at http://cameron.econ.ucdavis.edu/aed/
Additional Materials:
The course Canvas site has 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/undergradprogram/tutoring
The Khan Academy has excellent video tutorials and exercises. See
https://www.khanacademy.org/math/apstatistics
Reading List:
Topic  Lecture Notes  
A. Univariate  Chapters 14, Appendix B 

B. Bivariate Regression 
Chapters 59  
C. Multiple Regression  Chapters 1011, 1416 
Discussion Sections:
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)
To see whether 93 Hutchison and 2101 SCC are available see
https://computerrooms.ucdavis.edu/available/.
If you choose to purchase Stata go to https://www.stata.com/order/new/edu/gradplans/studentpricing/
Stata/BE is more than adequate and costs $48 (6 months), $94
(1 year); $225 (permanent copy). Note that ECN140 and some
other courses such as ECN 132 also use Stata.
Older versions of Stata are fine.
To install Stata after it is
purchased: (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).
Assignments:
20% Due 10.00 a.m.
Fridays October 1, 8, 22,
29; November 19; December 3.
Midterm
Exam1: 20% Thursday
October 14
Midterm Exam2:
20% Thursday November 4
Final
Exam:
40% Tuesday December 7 6.00
p.m. 8.00 p.m. Comprehensive (about half on material up to 2nd midterm
and about half the remainder).
Bring SCANTRON for exams.
Assignments: are posted on
Canvas under Files / Homeworks. My solutions will also be posted
there.
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 be
distributed.
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.
The lowest two of the scores on the seven quizzes
is dropped. (So e.g. no penalty for not doing two of the quizzes
if the other five received perfect scores.)
Academic honesty is required  see below.
Exams are closed book with a mixture of short answer (about twothirds) and multiple choice (about onethird) questions.