互联网扼杀了零售业之星吗?利用谷歌趋势估计电子商务对零售业就业的影响

D. Vitt
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引用次数: 1

摘要

在谷歌搜索“亚马逊”频率的州内变化被用来衡量电子商务对零售业就业的特定行业影响。为了测量电子商务曝光的外生变化,我依靠谷歌趋势测量的消费者使用互联网的随机变化,比如“色情”和“猫视频”。我的估计表明,电子商务对不同行业的影响是不同的。电子商务作为一种技术,在27个零售行业集团中至少有11个增加了劳动力需求,而在至少9个零售行业集团中劳动力需求减少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Did Internet Kill the Retail Trade Star? Using Google Trends to Estimate the Impact of E-Commerce on Retail Employment
Within-state variation in the search frequency for “amazon” at Google is used to measure the industry specific impact of e-commerce on retail employment. To instrument for exogenous variation in e-commerce exposure, I rely on random variation in consumer’s use of the Internet for tasks like “porn” and “cat videos” as measured by Google Trends. My estimates suggest there are differential impacts of e-commerce across industries. E-commerce behaves as a technology that augments demand for labor in at least 11 of the 27 retail industry groups, while labor demand decreases in at least 9 of the retail industry groups.
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