The impact of different data selections on the PCI scores is assessed by comparing rankings across various specifications. The specifications vary in terms of the imputation and normalization strategies utilized. The results are encouraging, in that the correlations across all categories of PCI are often 0.8 or higher. A notable exception is the transport category, due to the high number of imputed values. However, in this case both the Dineof imputation strategy, based on Beckers and Rixen (2003) and the Amelia bootstrapping-based algorithm score above 0.93 in terms of final PCI values. Finally, the PCA rotation strategy does not have an impact on the PCI scores.

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