ANALYSIS OF ECONOMICS DATA (Econ 102) 
SYLLABUS
Department of Economics, University of California - Davis
WINTER 2018

Instructor:
Professor Colin Cameron
1124 Social Sciences and Humanities
email: accameron@ucdavis.edu
website:  http://www.econ.ucdavis.edu/faculty/cameron/

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 9-11 am in room  SSH 0116
Dakyung Seong         dkseong@ucdavis.edu             Office hours:  Mon 12-1 and Tues 2-3 pm in room  SSH 120
William Volckmann  wmvolckmann@ucdavis.edu   Office hours:  Wed 3-5 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

Course Goals:
(1) Locate economics data and provide meaningful economic analysis of these data.
(2) Use a standard econometrics package (Stata) to produce charts, scatter plots, descriptive statistics and simple linear regression.
(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 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.
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.7.1-7.2)
  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)758-2311 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 1-7, Appendix A-B

2. Bivariate Chapters 8-12
3. Multivariate Chapters 13-16

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/student-pricing/ 
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).

To get started in Stata see http://cameron.econ.ucdavis.edu/stata/stata.html

Assignments and Exams:

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.

Exams are closed book with a mixture of short answer (about two-thirds) and multiple choice (about one-third) questions.
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. 

Course Grades:
Course grade is determined by the total score, with weights given above.
I follow the Department of Economics grading policy of a class average GPA of 2.7.
e.g. 20% A's. 50% B's, 15% C's, 10% D's and 5% F's. http://economics.ucdavis.edu/undergrad-program/advising/courses/grading-policy 

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 assignments and 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).

Cheating:
Any cheating or academic misconduct will result in
(1) Zero pints for that part of the assessment. In particular, any cheating on any part of any assignment will result in zero points for all assignments. And any cheating on an exam will result in zero points for that exam.
(2) reporting to student judicial affairs.

Note that cheating includes copying from assignment solutions, including those from previous times this course has been taught.

What is academic honesty? From the UCD Student Judicial Affairs website http://sja.ucdavis.edu/cac.html, examples of Academic Misconduct include:
Cheating on exams or other coursework: Copying or attempting to copy from another student, or allowing another student to copy; Displaying or using any unauthorized material such as notes, cheat-sheets, or electronic devices;  Looking at another studentís exam; Talking, texting or communicating during an exam; Looking around during an exam; ē Altering assignments or exams for re-grading purposes; Bringing pre-written answers to an exam; Having another person take an exam for you, or taking an exam for another student;  Continuing to work on an exam after the instructor has announced that all students must stop working; Stealing another studentís work.
Plagiarism: Taking credit for any work created by another person. Work includes, but is not limited to books, articles, experimental methodology or results, compositions, images, lectures, computer programs, internet postings; Copying any work belonging to another person without indicating that the information is copied and properly citing the source of the
work; ē If not directly copied, using another personís presentation of ideas without putting it in your own words or form and not giving proper citation; Creating false citations that do not correspond to the information you have used.
Unauthorized Collaboration
(working on your own is expected unless you are informed that working together is allowed): Working together on graded coursework without permission of the instructor; Working with another student beyond the limits set by the instructor. - working with others on graded coursework without specific permission of faculty (on in-class or take-home tests, papers, labs, or homework assignments).
Misuse of an instructorís course materials or the materials of others, including but not limited to: Posting or sharing any course materials of an instructor without the explicit written permission of that instructor; Purchasing or copying assignments or solutions, to complete any portion of graded work, without the instructorís permission.
- 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.
Lying or fraud: Giving false excuses to obtain exceptions, such as the postponement of an exam or assignment due date, assignment of incomplete grades, or late drops; Forging signatures or submitting documents containing false information.
Submitting the same work in two or more different classes without the permission of the instructors.
Intimidation or disruption includes, but is not limited to the following:
Pressuring an instructor or teaching assistant to regrade work, change a final grade, or obtain an exception such as changing the date of an exam, extending a deadline, or granting an incomplete grade; Refusing to leave an office when directed to do so; Physically or verbally intimidating or threatening an instructor, teaching assistant or staff person, including yelling at them, invading personal space, or engaging in any form of harassment; Repeatedly contacting or following an instructor, teaching assistant, or staff person when directed not to do so; Misusing a classroom electronic forum by posting material unrelated to the course; Interfering with an instructorís or teaching assistantís ability to teach a class, or interfering with other studentsí participation in a class by interrupting, physically causing a disruption, or excessive talking.

IMPORTANT: For my class the assignment work handed in must be your own. This includes not copying from past solutions.