Watts M
Department of Economics, University of Newcastle, Callaghan, New South Wales, Australia.
Demography. 1998 Nov;35(4):489-96.
Empirical studies of gender segregation by occupation must be founded on rigorous measurement procedures. There appears to be a consensus that any index used in the analysis of time-series or international cross-section employment data must be either margin-free or decomposable to yield a margin-free component. On the other hand, Charles and Grusky (1995) advocate the use of multiplicative log models from which a margin-free odds ratio can be derived. In this paper, I contrast the construction and interpretation of the index of dissimilarity and the Karmel-MacLachlan index with the multiplicative modeling of gender segregation and the associated log index.
关于职业性别隔离的实证研究必须建立在严格的测量程序之上。似乎存在一种共识，即用于分析时间序列或国际横截面就业数据的任何指数必须要么是无边缘的，要么是可分解的，以产生一个无边缘的成分。另一方面，查尔斯和格鲁斯基（1995年）主张使用乘法对数模型，从中可以推导出无边缘的优势比。在本文中，我将差异性指数和卡梅尔-麦克拉克伦指数的构建与解释，与性别隔离的乘法建模及相关对数指数进行了对比。
