"We reanalyzed the evidence of behavioral interventions on citizens. We conducted Robust Bayesian Meta-Analysis (RoBMA), averaging across a full set of publication bias-adjusted models, to the 144 effect estimates (91 studies) compiled by Nisa et al. (2019). The bias-adjusted model-averaged posterior mean standardized effect of behavioral interventions on citizens is shrunk to 0.00 (95 % credible interval 0.00; 0.00), with a Bayes factor of 66 favoring the null."
"Accordingly, the previously reported noteworthy mean benefit of -0.093 (95% confidence interval - 0.123; -0.063) of behavioral interventions, including promising light-touch interventions (nudges or social comparison), on households and individuals is an artefact of publication bias."
Find out more in the paper: No evidence for effectiveness of behavioral interventions to mitigate climate change after adjusting for publication bias, I4R Discussion Paper Series, No. 263, Institute for Replication (I4R), s.l.it. [Link]
Find out more in the paper: No evidence for effectiveness of behavioral interventions to mitigate climate change after adjusting for publication bias, I4R Discussion Paper Series, No. 263, Institute for Replication (I4R), s.l.it. [Link]
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