{"title":"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","authors":"D. Vitt","doi":"10.2139/ssrn.3074132","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":370988,"journal":{"name":"eBusiness & eCommerce eJournal","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Did Internet Kill the Retail Trade Star? Using Google Trends to Estimate the Impact of E-Commerce on Retail Employment\",\"authors\":\"D. Vitt\",\"doi\":\"10.2139/ssrn.3074132\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":370988,\"journal\":{\"name\":\"eBusiness & eCommerce eJournal\",\"volume\":\"71 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"eBusiness & eCommerce eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3074132\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"eBusiness & eCommerce eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3074132","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.