Ranking the Factors that Affect Occupational Outcomes
利用Theil熵分解方法，基于1990年美国人口普查5%样本数据，对影响职业结果的因素进行排序，发现性别和教育影响最大，全职工作状态次之，年龄、种族和婚姻状况影响较小。
By using Theil's entropy measure, which is an additively decomposable measure of inequality, one may rank the various factors that affect occupational outcomes. Using the 5 percent sample of the 1990 U.S. Census, I find that sex and education have the greatest impact on occupational outcomes, followed by full‐time work status. Age, race, and ever‐married status have little impact on occupational outcomes.