Gender Differences in Days Lost from Work Due to Illness

Vistnes, Jessica

doi:10.1177/001979399705000207

Cited by 91 publications

(27 citation statements)

References 29 publications

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“…Second, females are less likely to be visited and also less likely to be fit for work. Our finding that women are (marginally) less likely to be found fit for work during a sickness episode favors the second hypothesis, and it is therefore in line with the results obtained, for example, by Paringer (1983) and Vistnes (1997). A number of hypotheses have been tested in the literature, which can be roughly split into economic (essentially, family responsibilities) and health issues (Paringer, 1983).…”

Section: Characteristics Of the Employeesupporting

confidence: 89%

Job sick leave: Detecting opportunistic behavior

Biscardo¹,

Bucciol

Pertile

2018

Health Economics

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We utilize a large administrative dataset of sickness leave in Italy (a) to investigate whether private firms are more effective than the public insurer in choosing who to monitor and (b) to study the correlation between potentially opportunistic behavior and the observable characteristics of the employee. We find that private employers are more likely to select into monitoring employees who are fit for work despite being on sick leave, if the public insurer is not supported by any data‐driven tool. However, the use of a scoring mechanism, based on past records, allows the public insurer to be as effective as the employer. This result suggests that the application of machine learning to appropriate databases may improve the targeting of public monitoring to detect opportunistic behavior. Concerning the association between observable characteristics and potentially opportunistic behavior, we find that males, employees younger than 50, those on short leaves, or without a history of illness are more likely to be found fit for work.

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Section: Characteristics Of the Employeesupporting

confidence: 89%

Job sick leave: Detecting opportunistic behavior

Biscardo¹,

Bucciol

Pertile

2018

Health Economics

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“…van Doorslaer et al 1997;Vistnes 1997) and several studies have found it to be significantly correlated with mortality, even when controlling for other, more objective indicators of individual health (for example, Hornbrook and Goodman 1996; for a recent review of this literature, see Idler and Benyamini 1997). The loss of observations due to these restrictions is as follows.…”

Section: Three Individual Covariates Have Some Missing Valuesmentioning

confidence: 98%

Income Inequality and Health Status in the United States: Evidence from the Current Population Survey

Mellor¹,

Milyo²

2002

The Journal of Human Resources

151

125

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JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org. ABSTRACT Several recent studies have identified an association between income inequality and aggregate health outcomes; this has been taken to be evidence that inequality is detrimental to individual health. We use data from the 1995-99 March Current Population Survey to examine the effect of income inequality on individual health status for both the general population and those individuals in poverty. We find no consistent association between income inequality and individual health status. Our results contradict recent claims that the psychosocial effects of income inequality have dramatic consequences for individual health outcomes.

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“…This gender difference is not fully understood and pregnancy has been suspected to be one of the factors behind this gap [6]. A recent Swedish study showed higher risk for permanent work incapacity for mothers compared to women without children [7].…”

Section: Introductionmentioning

confidence: 99%

Associations between Childbirth, Hospitalization and Disability Pension: A Cohort Study of Female Twins

et al. 2014

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BackgroundAs the literature on long-term effects of childbirth on risk of morbidity or permanent work incapacity (DP) is limited, we aimed to study associations of childbirth with hospitalization and DP, adjusting for familial factors.MethodsThis cohort study included female twins, i.e. women with twin sister, born 1959–1990 in Sweden (n = 5 118). At least one in the twin pair had their first childbirth 1994–2009. Women were followed regarding all-cause and cause-specific (mental or musculoskeletal diagnoses) DP during year 2–5 after first delivery or equivalent. Associations between childbirth, hospitalization and DP were calculated as hazard ratios (HR) with 95% confidence intervals (CI).ResultsWomen who did not give birth had markedly higher number of DP days/year compared to those giving birth. Hospitalization after first childbirth was associated with a higher HR of DP. Those hospitalized at least once after their first childbirth had a three-fold DP risk (HR: 3.2; 95% CI 1.1–9.6), DP due to mental diagnoses (HR: 3.2; 1.2–8.8), and of DP due to musculoskeletal diagnoses (HR: 6.1; 1.6–22.9). Lower HRs in the discordant twin pair analyses indicated that familial factors may influence the studied associations.ConclusionsWomen who did not give birth had a much higher risk for DP than those who did. Among those who gave birth, the risk for DP was markedly higher among those with a previous hospitalization, and especially in women with repeated hospitalizations. The results indicate a health selection into giving birth as well as the importance of morbidity for DP.

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Gender Differences in Days Lost from Work Due to Illness

Cited by 91 publications

References 29 publications

Job sick leave: Detecting opportunistic behavior

Job sick leave: Detecting opportunistic behavior

Income Inequality and Health Status in the United States: Evidence from the Current Population Survey

Associations between Childbirth, Hospitalization and Disability Pension: A Cohort Study of Female Twins

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