Construction of Pena’s DP2-based ordinal synthetic indicator when partial indicators are rank scores

Mishra, SK (2012): Construction of Pena’s DP2-based ordinal synthetic indicator when partial indicators are rank scores.

Abstract

The present study devises a computational scheme (and develops a FORTRAN 77 computer program) that may be appropriate to construct Pena’s DP2 (ordinal) synthetic indicator (Z) from the partial indicators (X) all of which are ordinal (ranking scores). An attempt has also been made to empirically apply the method (and the computer program) to obtain an ordinal synthetic indicator from a given ordinal data set.

• Item Type: MPRA Paper
• Language: English
• Keywords: Ordinal data set; Pena’s DP2 synthetic indicator; ranking scores; Ordinal principal component analysis; Computer program; Fortran 77
• 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 > C63 - Computational Techniques ; Simulation Modeling; C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C14 - Semiparametric and Nonparametric Methods: General; C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C61 - Optimization Techniques ; Programming Models ; Dynamic Analysis

References

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Mishra, S.K. (2011) “A Comparative Study of Various Inclusive Indices and the Index Constructed by the Principal Component Analysis", IUP Journal of Computational Mathematics, 4(2): 7-26.

Mishra, S.K. (2012-a) “A Note on Construction of Heuristically Optimal Pena’s Synthetic Indicators by the Particle Swarm Method of Global Optimization”, SSRN: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2028395

Mishra, S.K. (2012-b) “A Maximum Entropy Perspective of Pena’s Synthetic Indicators”, http://mpra.ub.uni-muenchen.de/37797

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