Local Technological Access, Income Disparities, and Job-Seeking in the United States Since 2010
Shaolong Wu
在现代美国劳动力市场,数字基础设施强烈影响个人如何定位机会,建立技能和提高工资。 计算接入、宽带覆盖和数字素养方面的区域差异对公平和可持续性具有重要的劳动力影响。 这项研究借鉴了NLSY97(全国青年纵向调查)队列的纵向数据,研究了基于地点的技术因素,个人人口统计,家庭特征和教育如何塑造收入水平和决定寻求新就业。 回归分析表明,教育程度,婚姻状况和互联网使用频率强烈预测了工资和个人求职强度。 区域收入差距突出表明,需要采取更本地化的干预措施,以确保公平获得技术。 这项研究提出了数字基础设施如何加强或挑战服务不足社区的系统性不平等的关键问题。
In the modern U.S. labor market, digital infrastructures strongly influence how individuals locate opportunities, build skills, and advance wages. Regional differences in computing access, broadband coverage, and digital literacy have significant labor implications for equity and sustainability. Drawing on longitudinal data from the NLSY97 (National Longitudinal Surveys of Youth) cohort, this study examines how place-based technological factors, personal demographics, household characteristics, ...