What Drives Real Estate Prices in Milwaukee? — 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

What Drives Real Estate Prices in Milwaukee?

Name: Quinn Stevenson
Major: Marketing
Hometown: Wheaton, IL
Faculty Sponsor: Julio Rivera
Other Sponsors:
Type of research: Independent research

Abstract

The focus of this research is to examine the real estate market of the City of Milwaukee over a 20-year period. Milwaukee is a major American city in Wisconsin facing a range of social and economic issues including segregation and economic development. The real estate market reflects these issues across the city and delineates areas and neighborhoods of poor, middle income and wealthy residents. This research examines these issues and attempts to determine why this may be happening. We estimate these effects using various techniques such as regression and point polygon analyses using data sets including crime data from Milwaukee P.D., Local Real Estate Listings Service data, ACS data, and Census data. Using these different data sets we can measure the impact of different factors upon the real estate market in the City of Milwaukee and draw inferences about their effect over a 20-year period as well as likely future trends in this the real estate market.

Poster file