MEASURING THE LOCALIZATION OF ECONOMIC ACTIVITY: A PARAMETRIC APPROACH*
提出一种与Ellison和Glaeser理论框架一致的新本地化测量指标，基于随机效用最大化模型，能更高效地衡量产业集聚程度。
ABSTRACT The index proposed by Ellison and Glaeser (1997) is now well established as the preferred method for measuring the localization of economic activity. In this paper we develop an alternative localization measure that is consistent with the theoretical framework originally proposed by Ellison and Glaeser. Our measure follows directly from the Random Utility (Profit) Maximization (RUM) location decision model. Because the distributional assumptions in our model are fully compatible with RUM, we are able to offer a more efficient measure of industry clustering.