This study analyzes the network antecedents of receiving job search assistance, specifically how and to what extent social capital relates to this process. Data come from probability samples on four East Asian countries. Hierarchical linear models are estimated to investigate the associations between social capital and inequality in the receipt of information and influence from personal contacts during job search. Adjusting for confounders, organizational affiliation, civic participation, and frequency of social interaction significantly predict the rate of assistance. Also significant are network size and diversity. Net of compositional effects, regional-level civic participation is further associated with the outcome. Finally, three significant cross-level interactions are observed with respect to social network characteristics (size and diversity). Understanding why some people receive more job search assistance is fundamental to status attainment and labor market inequality. Findings herein shed new light on this critical, yet underexplored, issue.

中文翻译：

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社会资本与求职援助：东亚国家的多层次分析

本研究分析了接受求职援助的网络前因，特别是社会资本如何以及在多大程度上与这一过程相关。数据来自四个东亚国家的概率样本。估计分层线性模型是为了研究社会资本与求职过程中个人接触信息接收和影响方面的不平等之间的关联。调整混杂因素、组织从属关系、公民参与和社会互动频率显着预测援助率。同样重要的是网络规模和多样性。除去组合效应，区域层面的公民参与进一步与结果相关。最后，在社交网络特征（规模和多样性）方面观察到三个重要的跨级别交互。了解为什么有些人会获得更多的求职援助，对于获得地位和劳动力市场不平等至关重要。本文的研究结果为这个关键但尚未充分探索的问题提供了新的思路。