Labor, Force Entry and Attachment of Young People
青年的劳动力进入与持续参与AI 解读 ↓
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分类依据与纠错
AI 根据所提供的论文材料归类：摘要以个人劳动参与状态为结果，并讨论进入和退出劳动力市场的概率，直接涉及离散状态分析。
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青年的劳动力进入与持续参与
- 研究问题
- 哪些个人、家庭及地区特征与青年进入或退出劳动力市场有关，教育就读与教育程度在其中有多大作用？
- 方法与思路
- 作者使用1960年人口与住房普查千分之一样本，对14至24岁青年按既往工作、性别、年龄和居住情况分层回归。
- 材料陈述的贡献
- 摘要称，教育相关变量对进入和退出劳动力市场的概率最有影响，整体结果与基于1950年普查的既有发现一致。
- 阅读关注点
- 应核对从既往工作到普查时劳动状态的转换定义、回归形式、分层样本量，以及教育变量影响大小的比较方式。
- 阅读边界
- 仅据 OpenAlex 索引摘要，稿件版本未注明；摘要未说明回归形式与因果识别条件，所述影响不能直接解释为教育的因果效应。
原文摘要
The one-in-a-thousand sample from the 1960 Census of Population and Housing was used to investigate the determinants of the movement of youth into and out of the labor force. Individuals in the sample between the ages of 14 and 24 were stratified on the basis of whether they worked in the preceding year, sex, age, and whether living at home. Separate regressions were run on each stratum. The dependent variable was the labor force status of the individual at the time of the enumeration. The independent variables included educational enrollment and attainment, family income, non-earned income of the youth, geographical region, and degree of urbanization. It was found that the first of these variables was the most influential in effecting the probabilities that a youth would enter and leave the labor force. In general, the results were consistent with the earlier findings of Eleanor H. Bernert which were based on the 1950 Census of Population.