Receiving Treatment, Labor Force Activity, and Work Performance Among People with Psychiatric Disorders: Results from a Population Survey

2011 ◽  
Vol 21 (4) ◽  
pp. 547-558 ◽  
Author(s):  
Geoffrey Waghorn ◽  
David Chant
Keyword(s):  
Psychiatric Disorders ◽  
Labor Force ◽  
Work Performance ◽  
Population Survey ◽  
Labor Force Activity

The Effects of Rheumatoid Arthritis on Labor Force Participation, Work Performance, and Healthcare Costs in Two Workplace Samples

2008 ◽  
Vol 50 (1) ◽  
pp. 88-98 ◽  
Author(s):  
Ronald C. Kessler ◽  
J Ross Maclean ◽  
Maria Petukhova ◽  
Chaitanya A. Sarawate ◽  
Louise Short ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Labor Force ◽  
Labor Force Participation ◽  
Healthcare Costs ◽  
Work Performance

Does Urban Public Housing Diminish the Social Capital and Labor Force Activity of Its Tenants?

2001 ◽  
Vol 20 (3) ◽  
pp. 485-504 ◽  
Author(s):  
David A. Reingold ◽  
Gregg G. Van Ryzin ◽  
Michelle Ronda
Keyword(s):  
Social Capital ◽  
Labor Force ◽  
Public Housing ◽  
The Social ◽  
Labor Force Activity

The Markov Model of Labor Force Activity 2012-17: Extended Tables of Central Tendency, Shape, Percentile Points, and Bootstrap Standard Errors

2019 ◽  
Vol 28 (1-2) ◽  
pp. 15-108 ◽  
Author(s):  
Gary R. Skoog ◽  
James E. Ciecka ◽  
Kurt V. Krueger
Keyword(s):  
Markov Model ◽  
Labor Force ◽  
Transition Probabilities ◽  
Standard Errors ◽  
Central Tendency ◽  
Statistical Measures ◽  
Gender And Education ◽  
Labor Force Activity ◽  
Force Data

Abstract This paper updates the Skoog-Ciecka-Krueger (2011) study which used 2005-09 U.S. population labor force data to estimate worklife expectancies. This update presents estimates using 2012-17 labor force data for persons ages 18 and over by sex and education. These updated estimates are presented as before as a set of worklife tables, including extended probability calculations and other statistical measures useful to forensic economists. Transition probabilities, by age, gender, and education, are contained in the electronic supplementary materials.

Schooling, Color, and the Labor Force Activity of Women

Social Forces ◽  
1992 ◽  
Vol 71 (2) ◽  
pp. 365-395 ◽  
Author(s):  
M. Tienda ◽  
K. M. Donato ◽  
H. Cordero-Guzman
Keyword(s):  
Labor Force ◽  
Labor Force Activity

Schooling, Color, and the Labor Force Activity of Women

Social Forces ◽  
1992 ◽  
Vol 71 (2) ◽  
pp. 365 ◽  
Author(s):  
Marta Tienda ◽  
Katharine M. Donato ◽  
Hector Cordero-Guzman
Keyword(s):  
Labor Force ◽  
Labor Force Activity

scholarly journals A Growing Educational Divide in the COVID-19 Economy Is Especially Pronounced among Parents

2021 ◽  
Vol 7 ◽  
pp. 237802312097980
Author(s):  
Christel Kesler ◽  
Sarah Bash
Keyword(s):  
Labor Force ◽  
Current Population Survey ◽  
Population Survey ◽  
Cumulative Risk ◽  
Demographic Characteristics ◽  
Parental Status ◽  
Life Chances ◽  
Current Population ◽  
Data Points

Economic disruption related to coronavirus disease 2019 (COVID-19) continued through the summer of 2020, affecting the lives of millions of Americans. In this visualization, the authors use recent data from the Current Population Survey to examine Americans’ cumulative risk for labor force detachment during the pandemic. The individuals in the analysis were interviewed eight times: in April, May, June, and July of 2019 and 2020. The authors document respondents’ employment experiences during the 2020 pandemic, using the 2019 data points as a baseline for comparison. Increasing detachment from the labor force varies by basic demographic characteristics (gender and parental status), but a more important divide in the COVID-19 economy is education, an already fundamental determinant of Americans’ life chances. The educational divide is especially pronounced among parents, with important repercussions for inequalities among children.

Sign in / Sign up

Export Citation Format

Share Document