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dc51e5d16e59a3a30def5fd383a32186
dc51e5d16e59a3a30def5fd383a32186
https://druid.datalegend.net/.well-known/genid/dc51e5d16e59a3a30def5fd383a32186
Composite_Measure_Wellbeing
component
dc51e5d16e59a3a30def5fd383a32186
https://druid.datalegend.net/.well-known/genid/dc51e5d16e59a3a30def5fd383a32186
cube#
sdmx-:refArea
sdmx-:refPeriod
measure
The composite measure of wellbeing is a linear combination of the 9 variables created through a latent variable model. In the Bayesian implementation of the latent variable model, missing data is handled by the model. This provides estimates even for countries for which there is very little information.