Meeting:
Tues Thurs 1.40  3.00 p.m. Hunt 100
Office Hours:
Wednesday afternoon 2.00 p.m.  4.00 pm.
Thursday morning 10.00 a.m.  11.00
a.m..
Teaching Assistants:
Ilhyun Cho Sections A01, A02 and A03
ihcho@ucdavis.edu
Office hours: Wednesday 11.002.00 pm
SSH 0115
Brendan Callahan Sections A04 and A05
bkcallahan@ucdavis.edu
Office hours: Wednesday 10.0011.00, Thursday
12.151.15pm SSH 0120
Bingwei Yu Section A06 ybwyu@ucdavis.edu
Office hours: Thursday 1011am SSH0121
Sections:
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 any upper division statistics
class as a prerequisite. i.e. Those wanting to take Economics 140
do not have to take 102, but can instead take an upper division
statistics class.
Topical Outline by Lecture Number:
For all topics an essential ingredient is that economics data be analyzed throughout. This includes case studies that include key introductory economics relationships, such as the Phillips curve.
A. Introduction:
1. Introduction and getting going on Stata (chapter
1 + Stata).
B. Univariate: Analysis of a single economics variable
2.  Summarizing data using descriptive statistics and
visualizing data using charts (chapter 2).
3.  Economics Data (chapter 3)
4.  Univariate data transformation (chapter 4)
5.  The sample mean (chapter 5)
6.  Statistical inference based on the sample mean using
confidence intervals and t tests (chapter 6)
7.  Statistical inference generalizations (ch.7.17.2)
8.  ***** First midterm exam *****
C. Bivariate: The relationship between two economic
variables
9.  Bivariate data summary: scatter plots, correlation and
regression (chapter 8)
10.  The least squares estimates (chapter 9)
11.  Statistical inference on regression coefficients (chapter
10)
12.  Bivariate case studies (chapter 11)
13.  Data Transformations for bivariate regression (chapter 12)
14.  ***** Second midtem exam *****
4. Multivariate: The relationship between more than two
economic variables
15.  Multiple regression (chapter 13)
16.  Inference for multiple regression (chapter 14)
17.  Case study (chapter 15)
18.  Data Transformations for multivariate regression (chapter
16)
19.  Model Checking (chapter 17)
20.  Review
Required Materials:
Available March 30 (hopefully) at Davis Copy Maxx
(Phone: (530)7582311 at 232 Third Street  corner of 3rd and
University Avenue). This material will not be posted on the web.
Lecture Notes for Analysis of Economics Data 102.
These lecture notes cover the entire course.
Earlier versions of the notes may also be adequate if Fall 2012 or
later, though there have been substantial recent changes.
Additional Materials:
Stata handouts are also at http://www.econ.ucdavis.edu/faculty/cameron/
Data sets and Stata programs will be made available.
Reading List:
Topic  Lecture Notes  
1. Univariate  Chapters 17, Appendix AB 

2. Bivariate  Chapters 812  
3. Multivariate  Chapters 1316 

4. Additional topics  Chapter 17 
Discussion Sections:
These are held in a university computer lab in Hutchison 93 or
2020 SciLab.
For university computer lab availability go to clm.ucdavis.edu
Computer Materials: Assignments use Stata.
There are two options ...
1. Use Stata on university lab computers (free).
a. Stata can be accessed in Hutchison 93
lab in our discussion section and when it is open and no
other class is using it.
b. Stata can also be accessed in 2020 SciLab when
it is open and no other class is using it.
c. For computer room availability see
http://clm.ucdavis.edu/rooms/available/.
d. You can access Stata remotely, but only when 2020
SciLab or 93 Hutchison is closed (for SciLab after 6 pm (?) and
for Huthison after 10 pm (?) plus late nights, early morning
and weekends).
See http://virtuallab.ucdavis.edu/
This requires a Remote Desktop Connection Client.
In Spring 2015 (this may have changed) only 30 remote connections
per lab are possible  you remotely connect to 2020 SciLab or 92
Hutchison lab computer and there are only 30 computers in each. So
try to be quick so other students can get access.
2. Purchase Stata for PC or Mac. This is NOT a
requirement.
Go to http://www.stata.com/order/new/edu/gradplans/studentpricing/
to order Stata
a. Cheapest is Small Stata for six months at $38. This is
adequate for this class.
b. If you plan to go on and do Economics 140 (Econometrics)
this uses Stata/IC (for moderatesized data sets) which costs $75
for six months or $125 for a year.
c. If really serious about data analysis best is a
perpetual (i.e. forever) license for Stata/IC costing $198.
Course Grading:
Midterm Exam1:
22.5% Thursday April 21
Midterm Exam2: 22.5%
Thursday May 12
Assignments:
10% Due 1.40 p.m.
Thursdays April 7, 14, 28; May
5, 26; June 2.
Final
Exam:
45% Tuesday June 7
10.30 a.m.12.30 p.m.
Comprehensive.
Assignments will be graded
satisfactory (2%) or unsatisfactory (0%). Full solutions will
be distributed. Satisfactory means a serious attempt to answer
at least 80% of the questions. 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.
THE ASSIGNMENTS ARE THE ESSENTIAL
WAY TO LEARN THE MATERIAL AND PASS THE EXAMS.
Exams will be closed book. Exams will include questions on
use of Stata.
A formula sheet will be provided. Note that the final exam is
comprehensive.
FOR
EXAMS YOU NEED TO BRING STUDENT PHOTO ID. I WILL DECIDE
WHERE TO SEAT YOU.
Scores are posted at Smartsite.
Regrading: Assignment scores and exam
scores will be posted on myucdavis. Any concerns about
scores must be raised within one week of when graded work is
first returned in class.
AFTER THE FINAL EXAM IS TAKEN NO CHANGES WILL BE MADE FOR ANY
REASON TO ANY SCORES RECORDED ON SMARTSITE.
Given the course total score I form a curve and allocate
grades using this course score curve and to fit in with the
department policy: "To ensure fairness and consistency in grading,
the Department expects that the GPA in Economics undergraduate
class will average 2.7." (For example, a distribution with 25%
A's, 35% B's, 30% C's, 5% D's, and 5% F's could be consistent with
an overall GPA of 2.7.)
Unauthorized Collaboration  working with others on
graded coursework without specific permission of faculty (on
inclass or takehome tests, papers, labs, or homework
assignments).
Plagiarism  using another's work without giving credit.
You must put others' words in quotation marks and cite your
source, and must give citations when using others' ideas, even if
paraphrased in your own words.
Repeated Work: Submitting the same work in more than one
course, unless authorized by the instructor.
Exams: "Wandering eyes," talking during exams, having notes
visible, or leaving the exam room without permission.
IMPORTANT: For my class the assignment work handed
in must be your own. Each person must create their own Stata
output and write up their own answers.