The Global Talent Competitiveness Index (GTCI) aims to summarise complex and versatile concepts related to human capital and talent competitiveness at the national scale in 118 countries worldwide. In so doing, it raises some conceptual and practical challenges, which are discussed in the GTCI 2017 report. This chapter focuses on the practical challenges related to the data quality and the methodological choices made in the grouping of 65 variables into 14 sub-pillars, six pillars, two sub-indices, and an overall index.
GTCI 2017 has a very high statistical reliability (it has a Cronbach-alpha value of 0.95) and its 65 individual variables are statistically well grouped into the six pillars in order to measure the talent competitiveness dimensions that such pillars try to capture. Country ranks are also robust to methodological changes related to the treatment of missing values, weighting, and aggregation rule (with a shift of less than +/- 2 positions with respect to the simulated median in 90% of the countries). The added value of the GTCI model lies in its ability to summarise different aspects of talent competitiveness in a more efficient and parsimonious manner than is possible with the variables and pillars taken separately. In fact, in more than 70% of the 118 countries included in this year’s GTCI, the overall ranking differs from any of the six pillar rankings by 10 positions or more.
| Year of publication | |
| Authors | |
| Geographic coverage | Global |
| Originally published | 19 Jun 2020 |
| Related organisation(s) | JRC - Joint Research Centre |
| Knowledge service | Metadata | Composite Indicators |