论文标题
信息理论方法分析位置和共同位置模式
An information-theoretic approach to the analysis of location and co-location patterns
论文作者
论文摘要
我们提出了一个统计框架，以使用信息理论措施来量化经济活动的位置和共同点关联。我们将最终的措施与现有的揭示比较优势，本地化和专业化的度量联系起来，并表明它们都可以被视为同一框架的一部分。使用贝叶斯方法，我们提供了估计数量不确定性的度量。此外，信息理论方法可以很容易地扩展到超越成对的共线，而是捕获多元关联。为了说明框架，我们将措施应用于美国城市职业的共同点，显示了不同职业群体之间的关联。
We propose a statistical framework to quantify location and co-location associations of economic activities using information-theoretic measures. We relate the resulting measures to existing measures of revealed comparative advantage, localization and specialization and show that they can all be seen as part of the same framework. Using a Bayesian approach, we provide measures of uncertainty of the estimated quantities. Furthermore, the information-theoretic approach can be readily extended to move beyond pairwise co-locations and instead capture multivariate associations. To illustrate the framework, we apply our measures to the co-location of occupations in US cities, showing the associations between different groups of occupations.
