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multivariate analyses
Also known as: multivariate analysis
Facts (11)
Sources
Designing Carbon Pricing Policies Across the Globe link.springer.com 9 facts
claimIn the multivariate analysis of expert recommendations for equal lump-sum transfers, the positive relation with the global emission reduction target is preserved, while the relation with emission reduction costs becomes insignificant.
measurementThe negative relations between expert recommendations for renewable energy subsidies and both GDP per capita and the national weighted carbon price are preserved in the multivariate analysis, but are only significant at the 10% level.
measurementExperts who have published in economics journals show a negative and statistically significant relationship (at the 5% level) with their recommendations for carbon pricing instruments in multivariate analysis.
claimThe highly significant relation between GDP per capita and expert preference for lump-sum transfers is preserved in the multivariate analysis.
claimRegarding expert recommendations for subsidies for renewable energy, the relationship with expected climate damages becomes insignificant in the multivariate analysis, while the significant relationship with the estimated probability of catastrophic damages is preserved at the 5% significance level.
claimThe study observes differences in significance levels and coefficient signs between univariate and multivariate analyses due to the large number of independent and dependent variables.
claimThe study finds that results regarding the impact of explanatory variables on revenue use options are generally consistent between univariate and multivariate analyses.
measurementIn the multivariate analysis of expert recommendations for equal lump-sum transfers, the relation with the probability of catastrophic climate damages is positive and significant at the 5% level, while the relation with expected damages for 3°C global warming is negative and significant at the 5% level.
claimMany relationships between 'determinants' variables and expert recommendations for revenue usage become statistically insignificant in the multivariate analysis.
Track: Poster Session 3 - aistats 2026 virtual.aistats.org 1 fact
claimWeighted Multidimensional Scaling (WMDS) is a technique used in multivariate analysis for tasks such as dimensionality reduction and graph drawing.
Associations between dietary diversity and self-rated health in a ... link.springer.com Feb 28, 2025 1 fact
procedureResearchers performed nonparametric tests of significance for multivariate analyses using permutations (100,000).