在挪威,性别和教育差异导致了劳动参与和劳动年数的损失
Suzanne L Merkus1, Rune Hoff, Rachel L Hasting
1National Institute of Occupational Health, Pb 5330 Majorstuen, 0304 Oslo, Norway. suzanne.merkus@stami.no.
Scandinavian journal of work, environment & health
|May 24, 2024
概括
女性工作时间比男性少一年,失去了工作年数的原因从教育转移到病假和残疾养老金,特别是对于女性和受教育程度较低的人来说.
科学领域:
- 社会学 社会学 社会学
- 公共卫生 公共卫生
- 劳动经济学 劳动经济学
背景情况:
- 了解长期劳动参与对于经济和社会政策至关重要.
- 性别和教育显著影响劳动力市场的发展轨迹.
研究的目的:
- 量化工作参与时间和失业工作年数的原因.
- 根据挪威的性别和教育程度分析这些因素.
主要方法:
- 利用挪威关于劳动力市场附加的登记数据 (2000-2015年).
- 包括五个年龄队列,跟踪了十年.
- 计算了工作的平均时间和因缺勤/不活动而失去的年份.
主要成果:
- 在各个队伍中,女性工作时间比男性少大约一年.
- 失去了工作年数的原因从教育转移到因病缺席和因残疾退休.
- 较低的教育程度与工作年数较少和病假/残疾退休时间较长相关.
结论:
- 在劳动参与和失业年龄的原因方面存在严重的性别和教育差异.
- 这些差异在女性和老年人群中更为明显.
- 政策干预可能需要解决这些不平等问题.
相关概念视频
Two-Way ANOVA
2.6K
The two-way ANOVA is an extension of the one-way ANOVA. It is a statistical test performed on three or more samples categorized by two factors - a row factor and a column factor. Ronald Fischer mentioned it in 1925 in his book 'Statistical Methods for Researchers.'
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...
2.6K
Socioemotional Experience and Gender Development
27
Social-emotional experiences and cultural influences play significant roles in shaping gender development. During middle childhood, from ages 6 to 11, peer groups become dominant in reinforcing gender norms. Children in this age group often align with same-gender peer groups, which actively encourage behaviors that conform to traditional gender roles. For instance, boys may be discouraged from engaging in activities perceived as feminine, reinforcing culturally dictated norms about masculinity...
27
Applications of Life Tables
59
Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
59
Longitudinal Studies
156
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
156
Stereotypes, Prejudice, and Discrimination
90.2K
Humans are very diverse and although we share many similarities, we also have many differences. The social groups we belong to help form our identities (Tajfel, 1974). These differences may be difficult for some people to reconcile, which may lead to prejudice toward people who are different. Prejudice is a negative attitude and feeling toward an individual based solely on one’s membership in a particular social group (Allport, 1954; Brown, 2010). Prejudice is common against people who...
90.2K
Bias in Epidemiological Studies
246
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
246


