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MILWAUKEE_Home values appreciate more slowly for lower-income, minority and female homeowners. These were among the findings of a recent research project by a team from the University of Wisconsin-Milwaukee. The project was funded by the Mortgage Guaranty Insurance Corporation (MGIC).

The study used data science to find insights into what contributes to disparities in home values and how this impacts the accumulation of wealth that comes from owning a home.

More results from the project, which began last year, will be presented at 8:30 a.m., Tuesday, Sept. 12, at MGIC, 250 E Kilbourn Ave.

This research has produced findings we feel are actionable by the many public, private, non-profit and philanthropic stakeholders collectively focused on addressing equity in homeownership in Milwaukee, said Geoffrey Cooper, MGIC vice president of product development. It provides us a better understanding, specific to Milwaukee, of what moves the needle when it comes to building wealth through homeownership.

In this project, Bridging the Racial Disparity in Wealth Creation in Milwaukee,

UWM students and faculty created a data science method that examined the factors contributing to wealth creation through housing. It revealed inequities in the valuation of homes, and identified areas of policy interventions that could address them.

For many low- to middle-income households, homeownership is often their largest asset, said Purush Papatla, co-director of the Northwestern Mutual Data Science Institute and UWM professor of marketing. Appreciation in housing values is an important hedge against inflation and a primary source of wealth accumulation.

But how the values of homes are determined affects the amount of investment for the homeowner. For this project, researchers defined housing returns by an owners annual rate of return on home price growth or decline over time and also the resale value of a foreclosed home.

The research team created a machine-learning model called the Wealth Creation Index that uses data that tracks the wealth created by homeownership over time. The model separated data into the components that help or hinder valuation, providing a way to quantify social impact.

UWM faculty researchers on the team were Kundan Kishor, professor of economics; Rebecca Konkel, assistant professor of criminal justice; Jangsu Yoon, assistant professor of economics; and Tian Zhao, associate professor of computer science.

Research findings include:

The team found that homeownership is a better tool for wealth creation than renting even when the loss of wealth attributable to foreclosure is considered. Therefore, policy tools are needed to increase access to homeownership among lower-income, minorities and women.

Other recommendations included improving policies that support homeowners who are at risk of losing their homes to reduce foreclosure rates and policies that prevent widespread declines in property values.

For more information, contact Purush Papatla, papatla@uwm.edu, 414-229-4439.

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Research partnership uses data science to look at household wealth ... - University of WisconsinMilwaukee