This research examines name-based discrimination in hiring by analyzing resume studies comparing majority and minoritized names. The findings show that perceived warmth and competence strongly influence callback rates, revealing how stereotypes shape employment opportunities. The work highlights the psychological burden of identity concealment and proposes fairer, more transparent hiring practices.

Partner choice increasingly reflects shared career aspirations, intensifying income inequality. Using Danish registry data and machine learning, this research shows assortative matching by education and career focus has risen since the 1980s. If pairing patterns had remained unchanged, today’s income inequality would be over 40% lower, highlighting family formation as a key economic force.