Multivariate Measures of Well-Being and an Analysis of Inequality in the Michigan Data
提出一种多维方法，结合货币收入等指标测度福祉，避免估算虚拟收入的问题，并用相对不平等指数分析各指标对总不平等的贡献及组内组间差异，基于美国密歇根收入动态调查数据。
We demonstrate a multidimensional approach for combining several indicators of well-being, including the traditional money-income indicators. This methodology avoids the difficult and much criticized task of computing imputed incomes for such indicators as net worth and schooling. Inequality in the proposed composite measures is computed using relative inequality indexes that permit simple analysis of both the contribution of each welfare indicator (and its factor components) and within and between components of total inequality when the population is grouped by income levels, age, gender, or any other criteria. The analysis is performed on U.S. data using the Michigan Survey of Income Dynamics.