An Analysis of Intergenerational Economic Mobility — Presentation Detail — Celebration of Scholars

Instructions

Student presentations must have a faculty sponsor.

Abstracts must include a title and a description of the research, scholarship, or creative work. The description should be 150-225 words in length and constructed in a format or style appropriate for the presenter’s discipline.

The following points should be addressed within the selected format or style for the abstract:

A clear statement of the problem or question you pursued, or the scholarly goal or creative theme achieved in your work.
A brief comment about the significance or uniqueness of the work.
A clear description of the methods used to achieve the purpose or goals for the work.
A statement of the conclusions, results, outcomes, or recommendations, or if the work is still in progress, the results you expect to report at the event.

Presenter photographs should be head and shoulder shots comparable to passport photos.

Additional Information

More information is available at carthage.edu/celebration-scholars/. The following are members of the Research, Scholarship, and Creativity Committee who are eager to listen to ideas and answer questions:

Jun Wang
Kim Instenes
John Kirk
Nora Nickels
Andrew Pustina
James Ripley

An Analysis of Intergenerational Economic Mobility

Name: Thomas Hedin
Major: Economics
Hometown: Andover
Faculty Sponsor:
Other Sponsors:
Type of research: Senior thesis

Abstract

This project examines the effect of parental income on that of the child, a concept known as intergenerational economic mobility. It uses representative longitudinal data in 2 different ways. First, regression analysis is utilized to estimate an individual’s placement in the income distribution based on where their parents were placed in the distribution, as well as other factors contributing to income. We focus on the regression coefficient of the parent's income measure to see how large of an effect it has on the child. Economic mobility for those growing up in different places in the distribution is compared using separate regression models. Secondly, mobility matrices are constructed to see the likelihood of an individual moving from one part of the distribution to another. Then the patterns in these matrices are studied and compared to the results from regression analysis to provide a more complete picture of mobility.

Poster file