Employing the Components of the Human Development Index to Drive Resources to Educational Policies

Sant’Anna, Annibal Parracho; Ribeiro, Rodrigo Otávio de Araújo; Ross, Steven Dutt

doi:10.1007/s11205-010-9759-4

Cited by 5 publications

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References 17 publications

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“…The main change then performed in the computational algorithm consisted in substituting a geometric mean for a weighted average employed before. This approximates the computation to that proposed in Sant'Anna et al (2011), which uses a joint probability calculated by the product of the probabilities of optimizing the three separate indicators of education, health and income.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Human Development Indices

Sant’Anna

2015

Braz. J. of Operations & Production Manag.

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Alternative indicators to the Human Development Index adopting the same components but using other forms of combination are discussed here. The basic idea is to transform the initial measurements into probabilities of achieving the worst performance. Joint probabilities are compared to the proximity to the frontier generated by the algorithm of Data Envelopment Analysis with constant returns to scale and constant inputs to scores applying the Choquet integral with respect to capacities that take into account the substitutability between the components of the index. A high correlation between the results of different forms of composition was found, demonstrating the robustness of the Human Development Index. On the other hand, advantages of different alternatives of composition could be noticed.

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Section: Introductionmentioning

confidence: 99%