PHILADELPHIA--(BUSINESS WIRE)--Wharton Research Data Services (WRDS), the leading data research platform and business intelligence tool for corporate, academic and government institutions worldwide, is pleased to announce Andreas Fuster of the Swiss National Bank; Paul Goldsmith-Pinkham of the Yale School of Management; Tarun Ramadorai of Imperial College Business School and CEPR; and Ansgar Walther of Imperial College Business School as winners of the WRDS Best Paper Award. The award was presented during the Western Finance Association conference.
Their paper, Predictably Unequal? The Effects of Machine Learning on Credit Markets examines the extent to which machine learning will harm or benefit access to mortgage credit among specific racial and ethnic groups. Their research finds that Black and Hispanic borrowers are likely to be disproportionately impacted by the use of machine learning in credit decisions.
To conduct their research the authors used a merged data set available through the Federal Reserve comprised of data from the Home Mortgage Disclosure Act and McDashTM mortgage servicing, licensed by Black Knight. Combined, the data offer information on mortgage loans, default outcomes and demographic information.
- Examining data on over 9 million home mortgages between 2009 and 2013, the authors study the efficiency in predicting default rates in the data vs. differential impacts of predictive models on different groups.
- The paper suggests that with new technological changes across lending there will be groups who will benefit and others who won’t.
- Legislators and policy makers who work in lending space will need to pay attention to algorithmic fairness.
“WRDS is excited to honor Professors Fuster, Goldsmith-Pinkham, Ramadorai and Walther with this Best Paper Award,” said Robert Zarazowski, Managing Director of WRDS. “As machine learning advances, it is critically important to understand its real-world impact and this paper does a tremendous job of highlighting potential unequal effects across borrowers. I congratulate the researchers for their important work.”
“We are deeply honored to receive this Best Paper Award from WRDS,” said Paul Goldsmith-Pinkham. “It is an honor to be recognized for our work and to be able to share it with the WRDS-SSRN community.”
The paper received coverage in The Economist.
A part of the Wharton School of the University of Pennsylvania, WRDS provides global corporations, universities and regulatory agencies the thought leadership, data access and insights needed to enable impactful research.
As part of its commitment to supporting exceptional research, WRDS and SSRN launched a groundbreaking collaboration to elevate the visibility of universities and researchers. The WRDS Research Paper Series is a searchable repository of all papers submitted to SSRN that cite WRDS in their work, which will increase researcher visibility and build a specialized research base that will advance shared knowledge. In addition, the organizations have launched the WRDS-SSRN Innovation Award™ to honor emerging business schools in North America, Asia-Pacific, and EMEA. Learn more about how WRDS is driving impact >>
Wharton Research Data Services (WRDS) provides the leading business intelligence, data analytics, and research platform to global institutions enabling comprehensive thought leadership, historical analysis, and insight into the latest innovations in academic research.
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WRDS is a leader in impactful research. Through a partnership with SSRN, WRDS is elevating the visibility of universities and researchers working across an array of fields. The WRDS Research Paper Series is a searchable repository of all papers submitted to SSRN that cite WRDS in their work. In addition, the two organizations have launched the WRDS-SSRN Innovation Award™ to honor emerging business schools in North America, Asia-Pacific, and EMEA.
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