大数据
生产(经济)
投资(军事)
互联网
经济
工资
分布(数学)
要素股
工业革命
技术变更
知识生产
工资份额
技术变革
劳动经济学
业务
计算机科学
微观经济学
知识管理
万维网
政治学
经济增长
生产力
宏观经济学
效率工资
数据挖掘
数学分析
数学
政治
法学
作者
Simona Abis,Laura Veldkamp
摘要
Abstract Big data technologies change the way in which data and labor combine to create knowledge. Is this a modest innovation or a data revolution? Using hiring and wage data, we estimate firms’ data stocks and their knowledge production functions. Quantifying changes in production functions informs us about the likely long-run changes in output, in factor shares, and in the distribution of income, due to big data technologies. For the investment management industry, our structural estimates predict a 5% decline in the labor share of income; that change is comparable to similar estimates for the industrial revolution. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online
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