Jill Tanem
Biographic Data
| ID | 6064423 |
|---|---|
| NAME | Jill Tanem |
| GIVEN NAMES | Jill |
| FAMILY NAME | Tanem |
| SIGNATURE | TANEM J |
| AFFILIATIONS | Janette Dill is with the Division of Health Policy and Management in the School of Public Health at the University of Minnesota, Minneapolis. Jill Tanem is with DIRA Partners, San Francisco, CA. |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
“ They’re not leaving their home; this is where they were born, this is where they will die. ”
The “oldest old,” age 85 and older, constitute one of the fastest growing segments of the U.S. population. Yet, surprisingly little is known about the characteristics of U.S. counties with the highest percentage of the oldest old, nearly all of which are rural. We used qualitative analysis of key informant interviews ( n = 50) with county commissioners and other county-level representatives from rural counties with the highest prevalence of the o…
Gender, Race/Ethnicity, and Unionization in Direct Care Occupations
Objectives. The goal of this study was to measure unionization in the direct care workforce and the relationship between unionization and earnings, looking closely at differences across race/ethnicity and gender. Methods. Using data from the Current Population Survey from 2010 to 2020, we first used logit analyses to predict the probability of unionization among direct care workers across race/ethnicity and gender. We then measured the relationsh…
Gender, Race/Ethnicity, and Unionization in Direct Care Occupations
Objectives. The goal of this study was to measure unionization in the direct care workforce and the relationship between unionization and earnings, looking closely at differences across race/ethnicity and gender. Methods. Using data from the Current Population Survey from 2010 to 2020, we first used logit analyses to predict the probability of unionization among direct care workers across race/ethnicity and gender. We then measured the relationsh…
“ They’re not leaving their home; this is where they were born, this is where they will die. ”
The “oldest old,” age 85 and older, constitute one of the fastest growing segments of the U.S. population. Yet, surprisingly little is known about the characteristics of U.S. counties with the highest percentage of the oldest old, nearly all of which are rural. We used qualitative analysis of key informant interviews ( n = 50) with county commissioners and other county-level representatives from rural counties with the highest prevalence of the o…
Gender, Race/Ethnicity, and Unionization in Direct Care Occupations
Objectives. The goal of this study was to measure unionization in the direct care workforce and the relationship between unionization and earnings, looking closely at differences across race/ethnicity and gender. Methods. Using data from the Current Population Survey from 2010 to 2020, we first used logit analyses to predict the probability of unionization among direct care workers across race/ethnicity and gender. We then measured the relationsh…
Economics (2 works) · Medicine (2 works) · Political science (2 works) · Sociology (2 works) · Aging and Gerontology Research (1 works) · Business (1 works) · Collective bargaining (1 works) · Demographic economics (1 works) · Demography (1 works) · Earnings (1 works)