Minorities and Retirement
Security (MRS)
Dr. Hervani (PI)
Saeid Delnavaz (RA)
Fourth Seminar
May 30, 2014
Chicago State University
Goals For Month of May
Prepare reports on Data identification &
collections among retiring low income and
minority groups.
 Utilizing the data collected, construct
spreadsheets, and carry on statistical analysis.
 Construct mathematical models that will enable us
to utilize the data collected for regression analysis.

Table of Content:







Introduction
Background
Methodology
a. Dependent Variable
b. Independent Variables
c. Estimation Method
Data Analysis
Selected Model
Conclusion
References
Introduction


Introductions are generally half a page in length, though
they can run longer if the topic requires additional
information. They usually begin with supporting
statements, and end with a description of your
hypothesis.
In my report, I introduce Retirement Security among
Minorities and include a clear statement of the main
assertions of the paper.
Background

Background information identifies and describes the
history and nature of a well-defined research problem
with reference to the existing literature. Background
information in my Introduction indicates the root of the
retirement (in)security problems and the extent to
which previous studies have successfully investigated the
problems.
Methodology

The methods section of my research paper
provides the information by which a study’s
validity is judged. The method section answers
two main questions:
1) How was the data collected?
2) How was it analyzed?
Selected Model

RS= f (Gender, Race, Education, Marital Status,
Household Income)

Dependent Variable= RS (Retirement Security)

Independent Variable= Gender, Race, Education,
Marital Status and Household income
I have collected the data from the following
websites:

American Fact Finder (http://factfinder2.census.gov)
Quick Facts (http://quickfacts.census.gov)
NHGIS Data Finder (data2.nhgis.org)

Illinois Genealogy & History Guide (http://www.illinoisgenealogysearch.com)

Illinois.gov

University of Illinois at Urbana-Champaign Library(www.library.illinois.edu)

University of Michigan Library (http://guides.lib.umich.edu)


Illinois Education level 2012 (White-Female)
30%
25%
25%
20%
21%
15%
21%
10%
5%
12%
9%
9%
3%
0%
Less than high
Regular high
school
school diploma
GED or
alternative
credential
Some college,
no degree
Associate's
degree
Bachelor's
degree
Graduate
degree
Illinois Education level 2012 (African-American-Female)
35%
30%
29%
25%
20%
15%
10%
23%
15%
5%
13%
Less than high
Regular high
school
school diploma
GED or
alternative
credential
8%
8%
3%
0%
Some college,
no degree
Associate's
degree
Bachelor's
degree
Graduate
degree
Illinois Education level 2012 (White-Male)
25%
23%
20%
21%
15%
10%
5%
21%
13%
11%
7%
4%
0%
Less than high
Regular high
school
school diploma
GED or
alternative
credential
Some college,
no degree
Associate's
degree
Bachelor's
degree
Graduate
degree
Illinois Education level 2012 (African-American -Male)
30%
25%
27%
27%
20%
15%
18%
10%
11%
5%
6%
0%
Less than high
Regular high
school
school diploma
GED or
alternative
credential
6%
Some college,
no degree
Associate's
degree
5%
Bachelor's
degree
Graduate
degree
Illinois Household Income 2012 (White)
45%
40%
35%
30%
25%
20%
15%
10%
5%
0%
41%
33%
26%
Less than $40,000
$40,000-$100,000
More Than $100,000
Illinois Household Income 2012 (African-American)
70%
60%
50%
58%
40%
30%
32%
20%
10%
10%
0%
Less than $40,000
$40,000-$100,000
More Than $100,000
Illinois Marital Status 2012 (White-Male)
60%
50%
54%
40%
30%
34%
20%
10%
1%
0%
Never married
Now married (except
separated)
Separated
3%
Widowed
8%
Divorced
Illinois Marital Status 2012 (African-American-Male)
60%
50%
56%
40%
30%
28%
20%
10%
4%
0%
Never married
Now married (except
separated)
Separated
3%
Widowed
9%
Divorced
Illinois Marital Status 2012 (White-Female)
60%
50%
50%
40%
30%
20%
27%
10%
1%
0%
Never married
Now married (except
separated)
Separated
10%
Widowed
12%
Divorced
Illinois Marital Status 2012 (African American-Female)
60%
50%
40%
52%
30%
20%
21%
10%
5%
0%
Never married
Now married (except
separated)
Separated
9%
Widowed
13%
Divorced
Thank You