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Migrants, Ancestors, and Foreign Investments

机译:移民,祖先和外国投资

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We use 130 years of data on historical migrations to the U .S. to show a causal effect of the ancestry composition of U.S. counties on foreign direct investment (FDI) sent and received by local firms. To isolate the causal effect of ancestry on FDI, we build a simple reduced-form model of migrations: Migrations from a foreign country to a U.S. county at a given time depend on (1) a push factor, causing emigration from that foreign country to the entire U.S., and (2) a pull factor, causing immigration from all origins into that U.S. county. The interaction between time-series variation in origin-specific push factors and destination-specific pull factors generates quasi-random variation in the allocation of migrants across U.S. counties. We find that doubling the number of residents with ancestry from a given foreign country relative to the mean increases the probability that at least one local firm engages in FDI with that country by 4 percentage points. We present evidence that this effect is primarily driven by a reduction in information frictions, and not by better contract enforcement, taste similarities, or a convergence in factor endowments.
机译:我们使用130年的数据历史迁移数据.S。显示当地企业派遣和收到的外国直接投资(FDI)祖先构成的因果关系。为了隔离祖先对外国直接投资的因果效果,我们建立了一个简单的迁移模型:在给定时间到美国县的外国迁移依赖于(1)推动因素,导致该国内的移民整个美国,和(2)拉因素,导致移民来自所有起源进入美国县。时序特定推送因子和目的地特定拉动因子之间的时间序列变化之间的相互作用在美国县的分配中产生了准随机变化。我们发现,相对于平均值的祖先与祖先的居民人数加倍,增加了至少一家当地公司与该国联系到4个百分点的可能性。我们提出了证据表明这种效果主要由信息摩擦的减少而导致,而不是通过更好的合同执法,品味相同,或因子禀赋的收敛。

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