摘要翻译：
我们根据行业就业数据计算了2007-2015年美国大都市区的经济复杂度。我们表明，经济复杂性的概念可以很好地从跨国环境转换到区域环境，并能够将当地以及贸易行业纳入其中。最大的城市和美国东北部的平均复杂度最高，而贸易行业的平均复杂度比本地服务行业高，但也有一些例外。平均而言，复杂性较高的地区人均收入较高，但这些地区受金融危机的影响也较大。最后，经济复杂性是人均收入和人口内部下降的重要预测因素。我们的发现强调了国家以下区域，特别是大都市地区作为经济地理单元的重要性。
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英文标题：
《The Economic Complexity of US Metropolitan Areas》
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作者：
Benedikt S. L. Fritz and Robert A. Manduca
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最新提交年份：
2019
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分类信息：

一级分类：Economics        经济学
二级分类：General Economics        一般经济学
分类描述：General methodological, applied, and empirical contributions to economics.
对经济学的一般方法、应用和经验贡献。
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一级分类：Quantitative Finance        数量金融学
二级分类：Economics        经济学
分类描述：q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学，包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
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英文摘要：
  We calculate measures of economic complexity for US metropolitan areas for the years 2007-2015 based on industry employment data. We show that the concept of economic complexity translates well from the cross-country to the regional setting, and is able to incorporate local as well as traded industries. The largest cities and the Northeast of the US have the highest average complexity, while traded industries are more complex than local-serving ones on average, but with some exceptions. On average, regions with higher complexity have a higher income per capita, but those regions also were more affected by the financial crisis. Finally, economic complexity is a significant predictor of within-decreases in income per capita and population. Our findings highlight the importance of subnational regions, and particularly metropolitan areas, as units of economic geography.
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PDF链接：
https://arxiv.org/pdf/1901.08112