Replication Data for: Understanding Policy Instrument Preferences under Conflicting Beliefs and Uncertaintydoi:10.7910/DVN/MVVXPFHarvard Dataverse2025-05-081Wiget, Milena; Lienert, Judit; Ingold, Karin, 2025, "Replication Data for: Understanding Policy Instrument Preferences under Conflicting Beliefs and Uncertainty", https://doi.org/10.7910/DVN/MVVXPF, Harvard Dataverse, V1, UNF:6:lfoMCm0B9S3KvcLHdiYxCw== [fileUNF]Replication Data for: Understanding Policy Instrument Preferences under Conflicting Beliefs and Uncertaintydoi:10.7910/DVN/MVVXPFWiget, MilenaLienert, JuditIngold, KarinHarvard DataverseWiget, MilenaWiget, Milena2025-04-25Social SciencesAdvocacy Coalition Framework (ACF)Multi-attribute Utility Theory (MAUT)Policy BeliefsAnticipating policy instrument preferences can be an important step in policy design to address pressing sustainability problems. But studying preferences for policy instruments is a difficult task because sustainability problems involve a non-negligible degree of trade-offs and uncertainty. We therefore study the role of actors' underlying ideologies (policy core beliefs) and risk attitudes in forming their preferences for different instruments. Combining the advocacy coalition framework with multi-attribute utility theory, both ideologies and attitudes toward uncertain policy consequences can influence instrument preferences. So far, policy studies literature has paid little attention to trade-offs between policy core beliefs or risk attitudes. Using Bayesian regression models on data from actors in Swiss pesticide risk reduction policy, we found that attitudes toward trade-offs and risk are indeed relevant to explain preferences for different regulatory and market-based instruments addressing agricultural pesticide use. Therefore, when designing policies for sustainability problems, considering the relative importance of policy core beliefs for different actors can help to find effective and broadly supported solutions. 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