| 来源类型 | Working Paper
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| 规范类型 | 报告
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| DOI | 10.3386/w11887
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| 来源ID | Working Paper 11887
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| Measuring Aggregate Productivity Growth Using Plant-Level Data |
| Amil Petrin; James Levinsohn
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| 发表日期 | 2005-12-19
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| 出版年 | 2005
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| 语种 | 英语
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| 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
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| URL | https://www.nber.org/papers/w11887
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| 来源智库 | National Bureau of Economic Research (United States)
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| 引用统计 |
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| 资源类型 | 智库出版物
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| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/569538
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推荐引用方式
GB/T 7714 |
Amil Petrin,James Levinsohn. Measuring Aggregate Productivity Growth Using Plant-Level Data. 2005.
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文件名：
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w11887.pdf
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格式：
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Adobe PDF
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