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来源类型Working Paper
规范类型报告
DOI10.3386/w11887
来源IDWorking Paper 11887
Measuring Aggregate Productivity Growth Using Plant-Level Data
Amil Petrin; James Levinsohn
发表日期2005-12-19
出版年2005
语种英语
摘要We define aggregate productivity growth as the change in aggregate final demand minus the change in the aggregate cost of primary inputs. We show how to aggregate plant-level data to this measure and how to use plant-level data to decompose our measure into technical efficiency and reallocation components. This requires us to confront the "non-neoclassical" features that impact plant-level data including plant-level heterogeneity, the entry and exit of goods, adjustment costs, fixed and sunk costs, and market power. We compare our measure of aggregate productivity growth to several competing variants that are based only on a single plant-level factor of technical efficiency. We show that theory suggests our measure may differ substantially from these measures of aggregate productivity growth. We illustrate this using panel data from manufacturing industries in Chile. We find that our measure does differ substantially from other widely used measures with especially marked differences in the fraction of productivity growth attributed to reallocation.
主题Industrial Organization
URLhttps://www.nber.org/papers/w11887
来源智库National Bureau of Economic Research (United States)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/569538
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Amil Petrin,James Levinsohn. Measuring Aggregate Productivity Growth Using Plant-Level Data. 2005.
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