| 来源类型 | Working Paper
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| 规范类型 | 报告
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| DOI | 10.3386/w24380
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| 来源ID | Working Paper 24380
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| Trade with Correlation |
| Nelson Lind; Natalia Ramondo
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| 发表日期 | 2018-03-05
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| 出版年 | 2018
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| 语种 | 英语
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| 摘要 | We develop a trade model in which productivity presents an arbitrary pattern of correlation. The model approximates the full class of factor demand systems consistent with Ricardian theory. In particular, our framework formalizes Ricardo’s insight that countries gain more from trade with partners that have relatively dissimilar technology. Incorporating this insight entails a simple correction to the sufficient-statistic approach used for macro counterfactuals, and enables a general aggregation result that links macro demand systems to micro estimates. In our quantitative application, we estimate a multi-sector trade model which captures the possibility that nearby countries may share technology, and, hence, have correlated productivity draws. Our estimates suggest that accounting for correlation is key to calculating the gains from trade. |
| 主题 | International Economics
; Trade
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| URL | https://www.nber.org/papers/w24380
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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/582052
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推荐引用方式
GB/T 7714 |
Nelson Lind,Natalia Ramondo. Trade with Correlation. 2018.
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文件名：
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w24380.pdf
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格式：
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Adobe PDF
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