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Causal inference should quantify the sensitivity of results to hidden confounders (variables affecting both the location of projects and outcomes). The importance of this is illustrated using analysis of over-crediting in REDD+ projects 🧪 www.nature.com/articles/s41...
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Causal inference should quantify the sensitivity of results to hidden confounders (variables affecting both the location of projects and outcomes). The importance of this is illustrated using analysis...
www.nature.com
Unobserved confounders cannot explain over-crediting in avoided deforestation carbon projects - Nature Ecology & Evolution
Nature Ecology & Evolution