Tues Thurs 1.40 - 3.00 p.m. Hunt 100
Wednesday afternoon 2.00 p.m. - 4.00 pm.
Thursday morning 10.00 a.m. - 11.00 a.m..
Ilhyun Cho Sections A01, A02 and A03 email@example.com
Office hours: Wednesday 11.00-2.00 pm SSH 0115
Brendan Callahan Sections A04 and A05 firstname.lastname@example.org
Office hours: Wednesday 10.00-11.00, Thursday 12.15-1.15pm SSH 0120
Bingwei Yu Section A06 email@example.com
Office hours: Thursday 10-11am SSH0121
Economics 1A-B, Statistics 13 or 32 and Math 16A-B or consent of instructor.
The essential prerequisites 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 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.
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.7.1-7.2)
8. - ***** First midterm exam *****
C. Bivariate: The relationship between two economic
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
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
Available March 30 (hopefully) at Davis Copy Maxx (Phone: (530)758-2311 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.
Stata handouts are also at http://www.econ.ucdavis.edu/faculty/cameron/
Data sets and Stata programs will be made available.
|1. Univariate||Chapters 1-7, Appendix A-B
|2. Bivariate||Chapters 8-12|
|3. Multivariate||Chapters 13-16
|4. Additional topics||Chapter 17|
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/student-pricing/ 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 moderate-sized 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.
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
in-class or take-home tests, papers, labs, or homework
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.