2019
DOI: 10.1007/s11205-018-02056-x
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A Hybrid Enhanced Scatter Search—Composite I-Distance Indicator (eSS-CIDI) Optimization Approach for Determining Weights Within Composite Indicators

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Cited by 18 publications
(6 citation statements)
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“…The lower and upper bounds for weights were generated by the bootstrapped I‐distance. The weights obtained after 1,000 iterations of bootstrapping to 63% of the sample (24 entities in each iteration) are shown in Table . The lower limit (L) in the GAR DEA model was determined by the minimum obtained weight and the upper limit (U) by the maximum obtained weight.…”
Section: Resultsmentioning
confidence: 99%
“…The lower and upper bounds for weights were generated by the bootstrapped I‐distance. The weights obtained after 1,000 iterations of bootstrapping to 63% of the sample (24 entities in each iteration) are shown in Table . The lower limit (L) in the GAR DEA model was determined by the minimum obtained weight and the upper limit (U) by the maximum obtained weight.…”
Section: Resultsmentioning
confidence: 99%
“…From an academic perspective, particularly in operations research, parametric and nonparametric frontier models have gained considerable importance in recent years (Bȃdin et al, 2014;Emrouznejad and Yang, 2018). On the other hand, composite indicators have become popular and widely used metrics for assessing complex phenomena which cannot be evaluated with a single variable (Maricic et al, 2019). A significant number of these evaluations correspond to measures of effectiveness of organizations, countries or regions, which are usually transformed into rankings with high degrees of publicity (see, for instance Benito and Romera, 2011;Castillo-Giménez et al, 2019;Ciommi et al, 2017).…”
Section: Responsibility For Early Childhood Education Policies Lies With the Ministry Of Educationmentioning
confidence: 99%
“…To evaluate the weighting scheme for the NRI, Maricic et al (2019) applied the enhanced Scatter Search (eSS) metaheuristics technique to obtain a weighting scheme that would increase the stability of the composite indicator. The objective function is based on the relative contributions of the indicators, whereas the problem constraints rely on the bootstrap Composite I-Distance Indicator (CIDI) approach.…”
Section: Ict Usage Variablementioning
confidence: 99%
“…The eSS-CIDI approach combines the exploration capability of eSS and data-driven constraints devised from the bootstrap CIDI. The results obtained by Maricic et al (2019) initially suggested that the equal weightings for each sub-index of the NRI could change when the eSS-CIDI was applied. The proposed model does not, however, guarantee a more stable solution than the official estimation method, and thus it should not be changed.…”
Section: Ict Usage Variablementioning
confidence: 99%
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