A new Yale SOM study found that the five-star ratings on platforms like Uber and TaskRabbit can spread the effects of racial discrimination by displaying ratings from biased users to those who otherwise would not discriminate.
Non-white homeowners are at disproportionate risk of losing their homes over unpaid property taxes, shows new research from Yale SOM’s Cameron LaPoint.
Why do some demographic groups visit banks less than others? According to a new study by Yale SOM’s Alexander Zentefis and the Fed’s Jung Sakong, the primary barrier for Black households is a lack of nearby branches.
Teachers tend to blame Black boys more than White boys for identical misbehaviors, finds Yale SOM’s Jayanti Owens. Black and Latino boys also receive harsher punishment because the schools they attend tend to have more punitive cultures.
Why do women artist appear less frequently at auctions and in galleries? A study of Yale Art School graduates over 120 years, co-authored by William Goetzmann of Yale SOM, suggests that institutions pose a bigger obstacle than market participants.
The challenges of the last several years, including the upheaval of COVID-19 and the anti-racism movement that followed George Floyd’s murder, have had profound consequences for American theater. In a recent conversation with Yale SOM, three Yale alumni in the industry offered their perspectives on what comes next.
Many companies say that they are committed to diversity because it boosts firm performance. In a new study, Oriane Georgeac at Yale SOM and Aneeta Rattan at London Business School find that this explanation can have detrimental consequences for the very applicants that companies seek to attract.
Journalists Louise Story ’06 and Ebony Reed argue that understanding the grim history of race and money in the United States is key to building a more equitable future.
In a new study, Yale SOM’s Paul Goldsmith-Pinkham and his co-authors use the transition to Medicare eligibility to test whether universal health coverage can help reduce racial disparities in health.
This year, many of our most-read stories examined facets of the continuing COVID-19 pandemic, including the challenges of vaccination, the return to in-person work, the effectiveness of masks, and the bottleneck in the supply chain.
The predictive software used to automate decision-making often discriminates against disadvantaged groups. A new approach devised by Soheil Ghili at Yale SOM and his colleagues could significantly reduce bias while still giving accurate results.