Measurement and Testing of Inequality from Time Series of Deciles with an Application to U.S. Wages
使用不可观测成分时间序列模型分析美国小时工资季度十分位数的潜在趋势，通过稳定性和发散性检验评估不平等变化，并考察性别工资差距缩小及最低工资变动的影响。
This article uses unobserved-components time series models to capture the underlying trends in the quarterly deciles of U.S. hourly wages. Tests of stability and divergence are developed as a means of assessing changes in inequality. The decrease in the wage gender gap is examined, and the impact of changes in the minimum wage is assessed. © 2003 President and Fellows of Harvard College and the Massachusetts Institute of Technology.