Maria Abascal will write up the results of four studies that examine how Americans classify themselves and others in terms of race/ethnicity and the consequences of these classifications for racial/ethnic inequality. The first two projects, which draw on nationally representative surveys, explore which people are likely to be classified by others as people of color or as Latino. The third project investigates whether people from higher socioeconomic backgrounds are more likely to be classified as White during traffic stops. The fourth project examines how measures of Asian socioeconomic attainment (e.g., income, net worth) varies when Asian identity is employed in different ways (e.g., self-identifying as Asian versus being of Asian ancestry).