Meeting:
Tues Thurs 9.00  10.20 p.m. Hunt 100
Office Hours:
Tuesday afternoon 3.30 p.m.  5.00 pm.
Wednesday afternoon 2.00 p.m.  3.30 p.m..
Teaching Assistants:
Sarah Quincy
squincy@ucdavis.edu
Office hours: Wed 911 am in room SSH 0116
Dakyung Seong
dkseong@ucdavis.edu
Office hours: Mon 121 and Tues 23 pm in room SSH 120
William Volckmann wmvolckmann@ucdavis.edu Office
hours: Wed 35 pm in room SSH 0116
Discussion Sections:
Sarah Quincy
A01:
Wednesday 12.10  8.50 pm 93 Hutchison
Sarah
Quincy
A02: Wednesday 1.10 
2.00 pm 93 Hutchison
Dakyung
Seong A03:
Wednesday
2.10  3.00 pm 93 Hutchison
Dakyung Seong
A04: Wednesday 3.10  4.00 pm 93 Hutchison
William Volckmann
A05: Wednesday 5.10  6.00 pm 93 Hutchison
William
Volckmann A06:
Wednesday 6.10  7.00
pm 93 Hutchison
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.
For more on possible data classes see http://cameron.econ.ucdavis.edu/e102/morestat.html
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:
Lecture Notes for Analysis of Economics Data 102. Available
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. 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:
The course website http://cameron.econ.ucdavis.edu/e102/e102.html
has datasets, Stata programs, Stata introduction and past exams
and solutions
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.
Computer Materials: Assignments use Stata.
Stata is installed in 93 Hutchison, 2060 Scilab
and the Virtual Lab (after 2060 SciLab closes  see http://virtuallab.ucdavis.edu)
To see whether 93 Hutchison and 2060 SciLab are available see
http://computerrooms.ucdavis.edu/available/.
If you choose to purchase Stata go to http://www.stata.com/order/new/edu/gradplans/studentpricing/
For this course and other economics classes Stata/IC is more
than adequate and costs $45 (6 months), $89 (1 year); $198
(permanent copy).
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).
Midterm Exam1:
22.5% Thursday February 1
Midterm Exam2: 22.5%
Thursday February 22
Assignments:
10% Due 9.00 a.m.
Thursdays January 18, 25; February 8, 15; March 8, 15.
Final
Exam:
45% Thursday March
22 3.30 p.m.5.30 p.m.
Comprehensive (about half on material
up to 2nd midterm and about half the remainder).
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.
Assignments are posted on Canvas under Files
/ Homeworks.
Homeworks 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.