Davis Daniel J, Rubin Beth A
The University of North Carolina at Charlotte, United States.
The University of North Carolina at Charlotte, United States.
Soc Sci Res. 2016 Nov;60:29-44. doi: 10.1016/j.ssresearch.2016.04.005. Epub 2016 Apr 6.
While scholars and politicians tout education as the salve to employment disruptions, we argue that the geography of the new economy, and the social closure mechanisms that geography creates, may be just as important as individuals' characteristics for predicting post-displacement wage loss (or gain). We use data from the 2012 Displaced Workers ement of the Current Population Survey and from the 2010 United States Census to test hypotheses linking local labor markets in different industrial contexts to post-displacement wage loss. Our results point to age as a closure mechanism, and to the partially protective effect of education in high-tech versus low-tech economic sectors. This study is the first to use national level data to examine how employment in high-tech cities influences post-displacement wages. These findings are relevant both for theorizing about the new economy and for public policy.
虽然学者和政治家们将教育吹捧为解决就业中断问题的良方，但我们认为，新经济的地理分布以及这种地理分布所产生的社会封闭机制，对于预测失业后的工资损失（或收益）而言，可能与个人特征同样重要。我们使用了2012年当前人口调查中的被解雇工人数据以及2010年美国人口普查数据，来检验将不同产业背景下的当地劳动力市场与失业后工资损失联系起来的假设。我们的研究结果指出年龄是一种封闭机制，并且表明教育在高科技经济部门与低技术经济部门中具有部分保护作用。本研究首次使用国家级数据来考察在高科技城市就业如何影响失业后的工资。这些发现对于新经济理论以及公共政策都具有重要意义。
