Weekly wage penalty* for in-home workers who have or want a full-time job, 2018
| Direct-care aides | |||||
|---|---|---|---|---|---|
| In-home | Maids and housekeeping cleaners | Nannies | Not agency-based | Agency-based | |
| All | -43.7%**** | -58.3%**** | -30.0%**** | -52.8%**** | -40.3%**** |
| Gender | |||||
| Female | -43.3%**** | -54.9%**** | -32.0%**** | -50.7%**** | -39.9%**** |
| Male | -53.3%**** | -76.1%**** | -44.0%**** | -63.3%**** | -50.2%**** |
| Nativity | |||||
| U.S. born | -44.9%**** | -79.2%**** | -32.9%**** | -59.5%**** | -41.4%**** |
| Naturalized U.S. citizen | -41.8%**** | -47.0%**** | -21.3%*** | -40.5%**** | -40.3%**** |
| Non-naturalized immigrant | -36.6%**** | -44.8%**** | -16.8%*** | -30.1%**** | -29.8%**** |
| Race/ethnicity | |||||
| White, non-Hispanic | -50.2%**** | -83.4%**** | -33.3%**** | -60.2%**** | -46.9%**** |
| Black, non-Hispanic | -33.8%**** | -48.2%**** | -13.1% | -49.6%**** | -32.1%**** |
| Hispanic, any race | -43.9%**** | -49.2%**** | -17.2%**** | -39.6%**** | -42.3%**** |
| Asian | -46.9%**** | -42.5%**** | -11.4% | -53.2%**** | -48.4%**** |
| Other | -35.0%**** | -13.1% | -22.3%**** | 19.3% | -40.9%**** |
| Education | |||||
| Not high school graduate | -28.3%**** | -46.2%**** | -33.0%**** | -0.8% | -16.6%**** |
| High school graduate | -35.8%**** | -56.0%**** | 0.6% | -45.3%**** | -33.3%**** |
| Some college | -44.1%**** | -76.4%**** | -26.3%**** | -53.1%**** | -42.1%**** |
| Bachelor’s degree or more | -83.1%**** | -96.0%**** | -61.9%**** | -101.5%**** | -84.3%**** |
| Age | |||||
| Under 23 | -9.0%**** | -57.3%**** | -15.0%**** | -31.4%** | 3.2% |
| 23–49 | -41.3%**** | -54.4%**** | -36.8%**** | -44.4%**** | -37.6%**** |
| 50+ | -55.2%**** | -60.8%**** | -32.4%**** | -60.5%**** | -52.6%**** |
* Percent difference between the weekly wages earned by a full-time in-home worker and those earned by a demographically similar full-time worker in another occupation
Note: **** indicates significance at the .01 level; *** indicates significance at the .05 level; ** indicates significance at the 0.1 level. OLS regressions control for gender, nativity, race/ethnicity, educational attainment, age, marital status, and division of the country. Complete regression results available by request from the author. To ensure sufficient sample sizes, this table draws from pooled 2016–2018 microdata.
Source: Author's analysis of Current Population Survey Outgoing Rotation Group microdata
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