scholarly journals Determinants of women’s hours worked in Mexico: A pseudo-panel approach (2005-2010)

CEPAL Review ◽  
2017 ◽  
Vol 2016 (120) ◽  
pp. 119-130
Author(s):  
Armando Sánchez V. ◽  
Verónica Villarespe R. ◽  
Diego A. Román C. ◽  
Ana Liz Herrera M.
Keyword(s):  
Hours Worked ◽  
Pseudo Panel

Work and Family Conflict, Hours Worked, Gender, and Division of Household Labor

2006 ◽  
Vol 11 (3) ◽  
pp. 102-106 ◽  
Author(s):  
Terri L. Entricht ◽  
Jennifer L. Hughes ◽  
Holly A. Geldhauser
Keyword(s):  
Family Conflict ◽  
Work And Family ◽  
Household Labor ◽  
Hours Worked ◽  
Division Of Household Labor

Working Time under Alternative Pay Contracts in the Ride-Sharing Industry

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Filippo Belloc
Keyword(s):  
Network Effects ◽  
Network Externalities ◽  
Profit Sharing ◽  
Static Model ◽  
Peer To Peer ◽  
Working Time ◽  
Intensive Margin ◽  
Hours Worked ◽  
Ride Sharing ◽  
Transportation Sector

AbstractWe study hours worked by drivers in the peer-to-peer transportation sector with cross-side network effects. Medallion lease (regulated market), commission-based (Uber-like pay) and profit-sharing (“pure” taxi coop) compensation schemes are compared. Our static model shows that network externalities matter, depending on the number of active drivers. When the number of drivers is limited, in the presence of positive network effects, a regulated system always induces more hours worked, while the commission fee influences the comparative incentives towards working time of Uber-like pay versus profit-sharing. When the number of drivers is infinite (or close to it), the influence of network externalities on optimal working time vanishes. Our model helps identifying which is the pay scheme that best remunerates longer working times and offers insights to regulators seeking to improve the intensive margin of coverage by taxi services.

scholarly journals The Australian labour market in 2020

2021 ◽  
pp. 002218562110022
Author(s):  
Elisa Birch ◽  
Alison Preston
Keyword(s):  
Young People ◽  
Older People ◽  
Labour Market ◽  
Minimum Wage ◽  
Job Loss ◽  
Food Services ◽  
Hours Worked ◽  
The Future

This article provides a review of the Australian labour market in 2020. It outlines the monetary and fiscal responses to COVID-19 (including JobKeeper, JobSeeker and JobMaker policies), describes trends in employment, unemployment and underemployment and summarises the Fair Work Commission’s 2020 minimum wage decision. Data show that in the year to September 2020, total monthly hours worked fell by 5.9% for males and 3.8% for females. Job loss was proportionately larger amongst young people (aged 20–29) and older people. It was also disproportionately higher in female-dominated sectors such as Accommodation and Food Services. Unlike the earlier recession (1991), when more than 90% of jobs lost were previously held by males, a significant share (around 40%) of the job loss in the 2020 recession (year to August 2020) were jobs previously held by females. Notwithstanding a pick-up in employment towards year’s end, the future remains uncertain.

scholarly journals The resiliency of employees with intellectual and developmental disabilities during the COVID-19 pandemic and economic shutdown: A retrospective review of employment files

2020 ◽  
pp. 1-10
Author(s):  
Carol Schall ◽  
Valerie Brooke ◽  
Rachael Rounds ◽  
April Lynch
Keyword(s):  
Employment Status ◽  
Food Service ◽  
People Of Color ◽  
Hourly Wage ◽  
Intellectual And Developmental Disabilities ◽  
Hours Worked ◽  
Intellectual And Developmental Disability ◽  
Work From Home ◽  
Integrated Employment ◽  
The Impact

BACKGROUND: While the health and economic impact of COVID-19 is becoming better known among the general population, little is known about the impact of the pandemic and recession on employees with intellectual and developmental disability (IDD). PURPOSE: The purpose of this paper is to examine the impact of the COVID-19 pandemic and subsequent recession on individuals with IDD. METHODS: The present paper described the impact of COVID-19 pandemic and recession on the employment status, hours worked, and hourly wage of 156 individuals with IDD who work in competitive integrated employment for February to July 2020. These findings are compared with a similar group receiving services from the same agency in February to July 2019. RESULTS: Findings indicate that these employees were not able to work from home and experienced furlough or lay off instead. Further, the number of hours worked monthly was also significantly affected. Wages were not affected by the pandemic and recession. Employees in some industries, notably health care and distribution and supplies, were less affected than employees in other industries like food service, retail, and entertainment. Finally, and surprisingly, black, indigenous, and other people of color worked more hours monthly than their white peers in both 2019 and 2020. CONCLUSION: Implications of these findings are discussed.

scholarly journals Long-Term Employment Outcomes among Female Cancer Survivors

2020 ◽  
Vol 17 (8) ◽  
pp. 2751 ◽  
Author(s):  
Christine C. Ekenga ◽  
Eunsun Kwon ◽  
BoRin Kim ◽  
Sojung Park
Keyword(s):  
Cancer Survivors ◽  
Employment Status ◽  
The United States ◽  
Employment Outcomes ◽  
Hours Worked ◽  
Professional Workers ◽  
Working Age ◽  
The Impact ◽  
Female Cancer Survivors

Advances in early detection and treatment have led to a growing population of female cancer survivors, many of whom are of working age. We examined the relationship between cancer and long-term (>5 years) employment outcomes in a nationally representative sample of working-age women in the United States. Data from nine waves of the Health and Retirement Study were used to examine employment status and weekly hours worked among cancer survivors (n = 483) and women without cancer (n = 6605). We used random slope regression models to estimate the impact of cancer and occupation type on employment outcomes. There was no difference in employment status between cancer survivors and women without cancer at baseline; however, during follow-up, cancer survivors were more likely to be employed than women without cancer (odds ratio (OR) = 1.33, 95% confidence interval (CI): 1.11–1.58). Among 6–10-year survivors, professional workers were less likely (OR = 0.40, 95% CI: 0.21–0.74) to be employed than manual workers. Among >10-year survivors, professional workers averaged fewer weekly hours worked (−2.4 h, 95% CI: −4.4–−0.47) than manual workers. The impact of cancer on long-term employment outcomes may differ by occupation type. Identifying the occupation-specific mechanisms associated with the return to work will be critical to developing targeted strategies to promote employment in the growing female cancer survivor population.

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