Minorities and Retirement Security (MRS) 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 ( Quick Facts ( NHGIS Data Finder (data2.nhgis.org)data2.nhgis.org Illinois Genealogy & History Guide ( Illinois.gov University of Illinois at Urbana-Champaign Library( University of Michigan Library (

Thank You