Earnings Inequality for Asians and Hispanics: An Examination of Variation across Subgroups
Abstract
Our analysis uses a novel data set that combines data from the confidential-use US CensusAmerican Community Survey linked to administrative records from the IRS. In this new panel, we
follow the earnings (as indicated by individual level W-2 and 1099 forms) at the individual-level over
time for the Asian and Hispanic population in the U.S. for 11 years (2005-2015). Importantly, we
disaggregate these two race and ethnic categories into smaller subgroups to examine how aggregation
obscures different average outcomes across these groups. Our analysis focuses on several measures of
inequality and immobility. This paper is a follow-up to our prior analysis which examined income
inequality across the following race and ethnic groups: Non-Hispanic white, Black, American Indian/
Alaska Native, Asian American, Native Hawaiian/Pacific Islander, Hispanic and Other Races (Akee et
al, 2017). In this analysis, we disaggregate Asian into the following groups: Asian Indian, Chinese,
Filipino, Japanese, Korean and Vietnamese. For Hispanics, we disaggregate into the following groups:
Mexican, Puerto Rican, Cuban, Central American, Latin American. We use the self-identified race and
ethnic categories as provided in the American Community Survey for each individual. We are also able
to identify new immigrants (post 2005 arrival) and show how including this group affects measures of
earnings inequality and immobility.