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来源类型Working Paper
规范类型报告
DOI10.3386/w24917
来源IDWorking Paper 24917
Does Machine Translation Affect International Trade? Evidence from a Large Digital Platform
Erik Brynjolfsson; Xiang Hui; Meng Liu
发表日期2018-08-20
出版年2018
语种英语
摘要Artificial intelligence (AI) is surpassing human performance in a growing number of domains. However, there is limited evidence of its economic effects. Using data from a digital platform, we study a key application of AI: machine translation. We find that the introduction of a machine translation system has significantly increased international trade on this platform, increasing exports by 17.5%. Furthermore, heterogeneous treatment effects are all consistent with a substantial reduction in translation-related search costs. Our results provide causal evidence that language barriers significantly hinder trade and that AI has already begun to improve economic efficiency in at least one domain.
主题Microeconomics ; Economics of Information ; International Economics ; Trade ; Development and Growth ; Innovation and R& ; D
URLhttps://www.nber.org/papers/w24917
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/582591
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GB/T 7714
Erik Brynjolfsson,Xiang Hui,Meng Liu. Does Machine Translation Affect International Trade? Evidence from a Large Digital Platform. 2018.
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