G2TT
来源类型Working Paper
规范类型报告
DOI10.3386/w20340
来源IDWorking Paper 20340
Information, Misallocation and Aggregate Productivity
Joel M. David; Hugo A. Hopenhayn; Venky Venkateswaran
发表日期2014-07-24
出版年2014
语种英语
摘要We propose a theory linking imperfect information to resource misallocation and hence to aggregate productivity and output. In our setup, firms look to a variety of noisy information sources when making input decisions. We devise a novel empirical strategy that uses a combination of firm-level production and stock market data to pin down the information structure in the economy. Even when only capital is chosen under imperfect information, applying this methodology to data from the US, China, and India reveals substantial losses in productivity and output due to the informational friction. Our estimates for these losses range from 7-10% for productivity and 10-14% for output in China and India, and are smaller, though still significant, in the US. Losses are substantially higher when labor decisions are also made under imperfect information. We find that firms turn primarily to internal sources for information; learning from financial markets contributes little, even in the US.
主题Macroeconomics ; Money and Interest Rates ; Development and Growth ; Development ; Growth and Productivity
URLhttps://www.nber.org/papers/w20340
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/578013
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GB/T 7714
Joel M. David,Hugo A. Hopenhayn,Venky Venkateswaran. Information, Misallocation and Aggregate Productivity. 2014.
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