Different market, same treatment? A global comparison of hiring and housing discrimination

Key Points

• This research aims to compare discrimination rates in rental and labor markets based on various demographic grounds.
• Conducted a meta-regression analysis across different markets.
• Utilized correspondence audit methods to assess discrimination.
• Employed a Bayesian hierarchical meta-regression model for analysis.
• Discrimination rates vary by demographic group across both rental and labor markets.
• Identified significant differences in treatment based on race/ethnicity, sex/gender, and other factors.
• Findings support the existence of systemic bias in hiring and housing.

Abstract