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Econ 4630 ResearchMethodsforEconomistsEcon 4630-Section 001, Fall 2013Instructor:Jiyoung KWON
Tuesday& Thursday 11:00am-12:20pm
Wooten Hall 313
Web Address: https://learn.unt.eduVisit this address often for important class information.
Contact Information:
Email: [email protected]: (940) 369-8376
Office: Hickory Hall 283B
Office Hours: 2:00-3:30pm on Tuesdays and Thursdays,
1:00-4:00pm on Wednesdays, and by appointment.
Course description: ECON 4630 is a course intended to prepare students for more
advanced economics courses, especially ECON 4870. Students will master basic
probability and statistics, estimation and hypothesis testing, as well as other probabilityand statistics topics. Emphasis will be placed on applications from economics. Students
in this class are required to register for and attend one of the 1-hour lab sessions taught inGateway 141. In this lab session students will learn how to use software packages such as
MS-Excel to research statistical questions.
This course is NOT for students who have completed or plan to take DSCI3710,MATH3680, or MATH4650. If you have taken one of those courses, you may not get
credit for taking this course. Please, consult with your academic advisor. If you havecompleted one of the courses equivalent to ECON4630, you should consider ECON 4870
(Introduction to Econometrics) or other courses of your interest.
Textbooks:
1. (required)Basic Statistics for Business and Economics by Lind, Marchal andWathen (8
th, 7
thor 6
thedition).
2. (required) A Class Booklet at the UNT bookstore3. (optional) The Cartoon Guide to Statistics by Larry Gonick and Woollcott Smith.
Grading:1. Final grade:
Lab grade 15%
Problem Set and Quizzes 15%
Research Project 5%
Midterm exam 1: 20%
Midterm exam 2: 20%
Final exam: 25%
Total 100%
Total % scores (x) Letter grade
90% x A
80%
x < 90% B70 % x < 80% C
60 % x < 70% D
x < 60% F
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2. Problem sets:a. There will be 8 problem sets. The best 7 problem sets will count towards
your final grade.
b. Problem sets are due at or before the beginning of class. Late problemsets will NOTbe accepted (you may turn in early). Due dates will be
clearly marked on each problem set. While general consulting with fellowstudents on the assignments is acceptable, each student must do the
assignments by themselves. Failure to do so will be considered cheating
(see policy below).
3. The Research Project: multiple regression analysis of your data on the topic youhave selected. Please refer to the instruction on page 5 of this syllabus.
a. The research project is due by 11:59 p.m. on Wednesday, December 4th.Both the paper (Microsoft Word or PDF format) and the excel data file
must be emailed to [email protected] the due date.b. Your paper will be checked for plagiarism at turnitin.com or elsewhere.c.
The penalty will be assessed for late submission. The full percentagepoints for the paper (100 points) will be reduced by 20 points for each
additional day after the due date. NO EXCEPTIONS.
4. Exams:a. All the exams will be held at the classroom unless announced otherwise.b. All the exams will be comprehensive. However, the materials discussed
after the previous exam will be heavily emphasized.
c. There will be no makeup exam. If a student misses a midterm exam with avalid, documented University-approved excuse, the student will be
allowed to count his or her final exam more heavily.
d.
The final exam is scheduled on Tuesday, December 10
th
from 10:30amto 12:30pm. Except for those with a valid University-approved excuse,
everyone is required to take the final exam at the scheduled time.e. If a student misses an exam without a valid University-approved excuse,
he or she will be given a score of zero.
5. Lab grade will be assigned by the lab instructor.6. Attendance:
a. In addition to reading the textbook and completing the course assignments,students will find regular attendance in class necessary in order to fully
grasp the topics covered in ECON 4630. Students are urged in thestrongest possible terms to be present at each and every class meeting.b. If a student misses a class, he or she is responsible for class materials or
any class announcement, and should check with classmates regarding what
has been covered or announced.c. To help encourage attendance, unannounced in-class exercises will be
given for extra credit. Students missing a class for any reason will not
receive any extra points if an exercise is given that day.
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d. In accordance with university policy, I may drop (with a grade of WF)students who have missed 50% or more of classes for non-attendancebeginning on October 9
th.
7. Courtesy:You are expected to come to class on time. Students that habitually arrivelate, leave early, and exit and enter the room during class are disruptive.
Personal conversations between students will not be tolerated. During
class please turn off personal electronic devices such as cell phones, laptopcomputers, and music players. Please be respectful of your fellow students
and classroom surroundings.
Calculator: during the exams and quizzes, only basic calculators are allowed. Calculators
with graphic or statistic or memory capabilities are NOT, in general, allowed. If you are
not certain, please ask me well in advance of the exams.
Note that the LAST day to drop the course with the consent of the instructor isWednesday, November 6th
(Signed drop slips are available in the economics department
office.)
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Course Outline (subject to change):
Date(s) Topic(s) Chapter(s)
Aug. 29 Introduction Ch. 1
Sep. 3, 5, 10 Descriptive statistics: tables and graphs
Descriptive statistics: location anddispersion
Ch. 2, 3, 4
Sep. 12, 17, 19 Probability concepts Ch. 5
Sep. 19, 24, 26 Discrete probability distributions Ch. 6
Tuesday, Oct. 1
11:00am ~ 12:20pm
Midterm exam 1
Oct. 3, 8, 10 Continuous probability distributions Ch. 7
Oct. 10, 15, 17 Sampling and central limit theorem
Estimation and confidence intervals
Ch. 8
Ch. 9
Oct. 22, 24 One-sample Hypothesis testing Ch. 10
Oct. 29, 31 Two-sample Hypothesis testing Ch. 11
Tuesday, Nov. 5
11:00am ~ 12:20pm
Midterm exam 2
Nov. 7 Covariance and correlation Ch. 13
Nov. 12, 14, 19 Linear regression: estimation
(Paper 1)
Ch. 13, 14.
Papers will be
discussed.
Nov.19, 21, 26 Linear regression: inference
(Paper 2)
Dec. 3, 5 Review for Final exam
Tuesday, Dec. 10
10:30am ~ 12:30pm
Final exam Ch. 1~11, 13, 14
The due date for the research project is December 4th: both paper and data files must be emailed to
[email protected] 11:59p.m. on December 4th.
Paper1: McCormick, R., Tinsley, M., 1987. Athletics versus Academics? Evidence from SAT Scores, The
Journal of Political Economy 95, 1103 1116.
Paper2: Medoff, M., 1988. An economic analysis of the demand for abortions, Economic Inquiry 26, 353
359.
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4630 Research Project
Due Date: Wednesday, December 4th
, 2013
For our final project, we will be putting all that weve learned together. Gather data on a
subject of interest to you. You should collect data on a dependent variableand at least
two explanatory variables. At least one of your explanatory variables must becontinuous; the other can be a dummy variable if you wish. You may gather secondary
data (that is, from books, statistical sources, etc.) or you can collect your own. Here aresome examples from the past (also, some suggestions are attached to this document):
Daily sales at a car dealership as a function of day of the week and years ofexperience of salesperson
Tip percentage at a restaurant as a function of total bill and whether or notcustomer charged the bill.
U.S. imports as a function of the exchange rate and U.S. GDP.You are advised to select a problem that is interesting to you and to discuss your topic
with your instructor if you have concerns.
Your job is to use multiple regression to analyze your data. Specifically, Im looking for
the following:
a. A description of your variables and their source. Make sure to specify which isthe dependent variable and which are the explanatory variables. Include a table of
summary statistics and discuss the statistics in the table.
b. A set of hypotheses for each explanatory variable that reflects how you think eachis related to the dependent variable.
c. Regression output from Excel.d. A careful interpretation of the estimated coefficients on your explanatory
variables.
e. A careful explanation (by referring to hypothesis tests) of whether or not theestimated coefficients are statistically significant.
f. A brief discussion of your R2and its meaning.g. A paragraph summarizing your findings.
NOTE 1: You will need to turn in this paper in electronic form. In addition, you
must turn in your data in electronic form. Your paper will not have been turned in
until these stipulations are met.
NOTE 2: The 10 points per day penalty applies to late papers.
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Cheating and Plagiarism
The UNT Department of Economics adheres to the Universitys Policy on Cheating and
Plagiarism. To view the complete policy go to www.vpaa.unt.edu
Cheating: The use of unauthorized assistance in an academic exercise, including but notlimited to:
1. use of any unauthorized assistance to take exams, tests, quizzes or otherassessments;
2. dependence upon the aid of sources beyond those authorized by the instructor in
writing papers, preparing reports, solving problems or carrying out otherassignments;
3. acquisition, without permission, of tests, notes or other academic materials
belonging to a faculty or staff member of the University;4. dual submission of a paper or project, or re-submission of a paper or project to a
different class without express permission from the instructor;5. any other act designed to give a student an unfair advantage on an academic
assignment.
Plagiarism: Use of anothers thoughts or words without proper attribution in any
academic exercise, regardless of the students intent, including but not limited to:
1. the knowing or negligent use by paraphrase or direct quotation of the published or
unpublished work of another person without full and clear acknowledgement orcitation.
2. the knowing or negligent unacknowledged use of materials prepared by another
person or by an agency engaged in selling term papers or other academicmaterials.
The penalty for cheating or plagiarism is (at minimum) a grade of F for the
course.
******************************************************************
Disability Accommodation
If you have a disability for which you will require accommodation under the terms of theAmericans with Disabilities Act or Section 504 of the Rehabilitation Act of 1973, please
discuss your needs with me after class or at office hours.
The Economics Department cooperates with the Office of Disability Accommodation
(ODA) to make reasonable accommodations for qualified students with disabilities. If
you have not registered with ODA, we encourage you to do so. Please present yourwritten accommodation request on or before the 4th class day.