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The Environment and the Quality of Life in the United States Over Time

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Author Info
Hirschberg, J.G.
Maasoumi, E.
Slottje, D.J.

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Abstract

This paper considers the similarity between two measures of air pollution/quality control, on the one hand, and widely used indicators of life quality and welfare in the US, on the other. We use statistical cluster analysis based on information measures of similarity and distance. The results indicate the clusters of the US macroeconomic and quality of life indicators from 1015 to 1987, which contain the air quality measures. This can help in deciding on distinct dimensions to be considered in multidimensional studies of welfare and quality of life.

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Publisher Info
Paper provided by The University of Melbourne in its series Department of Economics - Working Papers Series with number 654.

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Length: 17 pages
Date of creation: 1998
Date of revision:
Handle: RePEc:mlb:wpaper:654

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Postal: Department of Economics, The University of Melbourne, 5th Floor, Economics and Commerce Building, Victoria, 3010, Australia
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Related research
Keywords: AIR QUALITY ; TIME SERIES ; INFORMATION;

Other versions of this item:

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

Cited by:
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  1. Marshall, Elizabeth & Shortle, James, 2004. "Using Dea And Vea To Evaluate Quality Of Life In The Mid-Atlantic States," 2004 Annual meeting, August 1-4, Denver, CO 20198, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association). [Downloadable!]
  2. Joseph G. Hirschberg & Jenny N. Lye, 2001. "Clustering in a Data Envelopment Analysis Using Bootstrapped Efficiency Scores," Department of Economics - Working Papers Series 800, The University of Melbourne. [Downloadable!]
Statistics
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