Eco309A Economic Statistics
Fall 2009
Dr. Robert Jantzen 
Economics Department

 
 

Where and When
Course Description
Course Objectives
Teaching Method
 Texts and Stat Tables
Course Grading
Term Project
Course Outline
Homeworks
Web-Based Help
Course Software
Contact Information
College Policy for All Courses
 
Announcements

Where and When

In the Fall of 2009, this course meets at 10 a.m. on Tuesday, Thursday and Friday in Doorley 220.  Classes begin 8/25/09.
 

Course Description

An introduction to the analytical and decision-making techniques of statistics specifically applied to the discipline of economics by case study and example.  This course also introduces model-building techniques and prepares the student for the study of econometrics.  Prerequisties:  Eco201 and Eco202.  3 Credits.
 

Course Objectives

The primary objective of this course is to impart to students a working knowledge of how statistics can be appropriately utilized to obtain, describe and draw inferences from data.  Specific objectives are contained in the homework assignments listed below.
 

Teaching Method:

This course will rely principally on lecture and discusssion, augmented with Microsoft EXCEL and PHSTAT2 statistical programming demonstrations.
 

Texts:

 
Levine, D. M., Krehbiel, T. C., & Berenson, M. L.,  Business Statistics: A First Course (4th Ed.). Upper Saddle River, NJ: Prentice Hall, 2006 (ISBN: 0131547143). 

Course Requirements and Grading:

 Student grades in this course will reflect assessment in the following areas:

 Homeworks        (relative weight = .2)
 Exam # 1            (relative weight = .3)
 Exam # 2            (relative weight = .3)
 Final Exam         (relative weight = .3)
 Term Project      (relative weight = .3)

    The final course grade will be computed by taking the weighted average of the best 4 of the above 5 grades.   Homework assignments will receive credit only if completed on time as scheduled.  Some homeworks will be assigned and completed during scheduled class meetings, hence students absent during those meetings will not receive credit for these homeworks.   Make-up exams will be available only to those students who have notified the instructor prior to the scheduled exam date ( a phone call to 637-2731 leaving a message is adequate).

    Academic dishonesty will be penalized heavily.  Plagiarism (the copying of text from other sources without the use of quotation marks) and/or cheating will result in a grade of F for the paper/exam involved.   In addition, students having excessive absences (10 or more) will receive the grade of FA (failed for absence).   Being late to a class will count as an absence.
 

Term Project:

The term project will require the student to analyze the relationships between (1) some dependent variable and at least three explanatory variables, or (2) some explanatory variable and at least three dependent variables.  Students may assemble data themselves, use one of the data bases described below or utilize published summary statistics.  The project must be submitted as a single document, double spaced, in a standard word processing format (i.e., *doc or *pdf).   Charts and tables should be included in the body of the text, while additional statistical results generated by Excel should be included in an Appendix.

A.  Organization and Content:

     The following describes how the term project should be organized, and what information should be included in each section:

    Section                                                     Content
I.  Introduction Provide a brief overview of the term paper’s research objectives and findings.
II. Literature Review Provide a summary of the findings of at least one other study that has examined the behavior of the dependent variable(s) that is (are) the focus of the term paper.
III.  Data and Method  Provide a description of each of the variables in the study and how they are measured.  This section should also describe how each variable is distributed with appropriate descriptive statistics and charts.  This section should also describe the statistical methods used for assessing whether a significant relationship exists between the dependent variable(s) and the explainer(s). The hypotheses being tested, statistics computed, and findings reported should be explained fully.  Any statistical programming "printouts" that form the basis for the analysis must be appended at the end of the paper.
IV.  Summary Provide a brief summary of the term project’s results and any policy implications they might impart.

B.  Data Bases:

To satisfy the term project requirement, you may:

  • collect and analyze your own data; or
  • use one of the Excel databases listed below; or
  • use one of the Excel databases (described in Appendix D) contained on the CD accompanying the Levine text.
      An excellent "gateway" for finding your own economic and financial data is Bill Goffe's Resources for Economists
web page (click on the Data link).  A particularly easy to use (& free) data repository of economic and financial
time series can also be found at http://www.freelunch.com (they require an e-mail address to gain access).

    The following Excel databases can also be used to complete the term project:

USDATA.XLS database contains monthly (starting in January 1992) US data for a variety of financial, production,
government and consumer behavior series.  Sources are various Federal agencies.

GDPHISTTABLE.XLS database contains quarterly US values for GDP derived production values.  Source is http://www.economic-indicators.com/.

CITYSTATE.XLS database contains a variety of  economic, social and demographic variables for the largest US cities
as well as for the states (plus Washington, D.C).  Source is University of Virginia's Fisher Library @
http://fisher.lib.virginia.edu/ccdb/state94.html.

WORLD95.XLS database containing 1995 population, health, income, education, religion, etc. information for 109 countries.  Source is SPSS.

COUNTRY.XLS database containing 1992 population, health, income, etc. information for 122 countries.  Source is SPSS.

NETWORK.XLS database containing size, occupancy, ownership, managed care penetration, etc. data for national sample of 235 hospitals (assembled by Loubeau and Jantzen).

MBADATA.XLS database containing enrollment, student demographics, faculty characteristics, tuition, accreditation status, etc. for the population of 624 graduate business (MBA) programs in the US.  Data were compiled for 1988 and 1995 (by Jantzen).

STATBOOK.XLS database containing hospital financial and service characteristics, as well as market characteristics, for a random sample of 717 private US hospitals (assembled by Jantzen and Loubeau). 
 

Typical Course Sequence:
 
 
 
Week(s) Beginning:
Topic:
Reading:
Homework Assignment
8/25
Sample Design & Data Collection
Chapter 1 and Sections 7.4 & 7.5
Homework 1
9/1 and 9/8
Describing Data in Tables and Charts
Chapter 2.
Homework 2
9/15 and 9/22
Numerical Descriptive Measures
Chapter 3.
Homework 3
9/29
Exam # 1
   
9/29
Probability Basics
Chapter 4.
Homework 4
10/6 and 10/13
Probability Distributions
Chapters 5 and 6.
Homework 5 and Homework 6
10/20
Confidence Intervals, Sample Sizes & Control Charts
Chapters 8 and 14.
Homework 7 and Homework 17
10/27
Univariate Tests
Chapter 9.
Homework 8
11/3
Exam # 2
   
11/3
Bivariate Tests: Numerical to Categorical Comparisons
Chapter 10.
Homework 9 and Homework 10
11/10
Bivariate Tests: Categorical to Categorical Comparisons
Chapter 10 & 11.
Homework 11
11/17
Bivariate Tests: Numerical to Numerical Comparisons
Chapter 12.
Homework 12
11/24 and 12/1
Multivariate Regression
Chapters 12 and 13.
Homework 13 and Homework 14
12/8
Data Analysis
 
Homework 18
12/8
Exam # 3

 


Web-Based Help:

The publisher of the Levine, Krehbiel and Berenson text maintains a website that offers supplements to the text for student use.  You can access the website by going to the following link:

http://www.prenhall.com/levine
 

Course Software:

This course will primarily rely on two programs (one bundled with the Levine text book) to conduct statistical analysis, namely Microsoft Excel and the PHSTAT2 add-in for Excel.  Both are relatively easy to use point-and-click programs that perform overlapping functions.  Students are free to use other software to complete assignments/exams (like MINITAB, BMDP, SPSS, etc.), but the instructor will not offer technical support for such programs.  The instructor will provide a handout containing information for installing the PhStat2 add-in.

Contact Information:

Instructor:               Robert H. Jantzen, Ph.D.
                                Professor, Department of Economics
Office Location:        Economics Department, Spellman Hall, 2nd floor
Office Hours:            T, Th and F, 11 a.m. - Noon,  by appointment..
Phone:                      (914) 637-2731.
Fax:                          (914) 633-2511.
E-Mail:                  RJantzen@Iona.edu
Web-Page:            www.iona.edu/faculty/rjantzen/homepage.htm
 
 
 

College Policy for all courses and students: (full explanations of policy may be found in the College Catalog)

Plagiarism:  Is the unauthorized use or close imitation of the language and thoughts of another author/person and the representation of them as one's own original work.  Iona College policy stipulates that students may be failed for the assignment or course, with no option for resubmission or re-grading of said assignment.  A second instance of plagiarism may result in dismissal from the College.

Attendance:  All students are required to attend all classes.  Iona has an attendance policy for which all students are accountable.  While class absence may be explained it is never excused.  Professors may weigh class absence in the class grade as they see fit.  Failure to attend class may result in a failure of the class for attendance(FA), when the student has missed 20% or more of the total class meetings.  The FA grade weighs as an F would in the final official transcript.

Course and Teacher Evaluation(CTE):  Iona College now uses an on-line CTE system.  This system is administered by an outside company and all of the data is collected confidentially.  No student name or information will be linked to any feedback received by the instructor.  The information collected will be compiled in aggregate form by the agency and distributed back to the Iona administration and faculty, with select information made available to students who complete the CTE.  Your feedback in this process is an essential part of improving our course offerings and instructional effectiveness.  We want and value your point of view.*
NOTE* You will receive several emails at your Iona email account about how and when the CTE will be administered with instructions how to proceed.

 


Economics Department || Iona College