Using ARIMA models and entropy, the dynamic evolution of several functions of aggregate income and other attributes of well-being is analyzed for statistical "similarity" in order to determine potentially distinct dimensions in multidimensional analysis of welfare and quality of life in the US. The entropy metric compares entire distributions and is more general than principal components and other correlation-based techniques for clustering. To help macroeconomic policy makers, we compare the distribution of several composite measures of well-being, including income, with the distribution of some common measures of aggregate income over the period 1915-1995.
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Length: 26 pages Date of creation: 2001 Date of revision: Handle: RePEc:mlb:wpaper:778
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Find related papers by JEL classification: C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data I31 - Health, Education, and Welfare - - Welfare and Poverty - - - General Welfare C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods
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