Mishra, SK (2008): Construction of composite indices in presence of outliers.
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Effects of outliers on mean, standard deviation and Pearson’s correlation coefficient are well known. The Principal Components analysis uses Pearson’s product moment correlation coefficients to construct composite indices from indicator variables and hence may be very sensitive to effects of outliers in data. Median, mean deviation and Bradley’s coefficient of absolute correlation are less susceptible to effects of outliers. This paper proposes a method to obtain composite indices by maximization of the sum of absolute Bradley’s correlation coefficients between the indicator variable and the derived composite index.
|Item Type:||MPRA Paper|
|Original Title:||Construction of composite indices in presence of outliers|
|Keywords:||Composite index; Principal Components analysis; absolute; Bradley’s correlation coefficient; outliers; median; mean deviation; Differential Evolution; global optimization|
|Subjects:||C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics > C43 - Index Numbers and Aggregation
C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C61 - Optimization Techniques ; Programming Models ; Dynamic Analysis
C - Mathematical and Quantitative Methods > C0 - General > C01 - Econometrics
|Depositing User:||Sudhanshu Kumar Mishra|
|Date Deposited:||26. May 2008 18:18|
|Last Modified:||22. Feb 2013 19:10|
Bradley, C. (1985) “The Absolute Correlation”, The Mathematical Gazette, 69 (447), pp. 12-17. Mishra, S.K. (2007a): “Performance of Differential Evolution Method in Least Squares Fitting of Some Typical Nonlinear Curves” Journal of Quantitative Economics, Vol. 5 (1), pp.140-177. Mishra, S.K. (2007b): “Least Squares Estimation of Joint Production Functions by the Differential Evolution method of Global Optimization.” Economics Bulletin, Vol.3 (51), pp.1-13 Mishra, S.K. (2007c) "Construction of an Index by Maximization of the Sum of its Absolute Correlation Coefficients with the Constituent Variables" SSRN: http://ssrn.com/abstract=989088
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