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Replication Data for: Eliciting Beliefs as Distributions in Online Surveys

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication Data for: Eliciting Beliefs as Distributions in Online Surveys
 
Identifier https://doi.org/10.7910/DVN/GEC2LS
 
Creator Leemann, Lucas
Traunmueller, Richard
Stoetzer, Lukas F.
 
Publisher Harvard Dataverse
 
Description Replication package for a forthcoming research note at Political Analysis. Abstract: Citizens’ beliefs about uncertain events are fundamental variables in many areas of political science. While beliefs are often conceptualized in the form of distributions, obtaining reliable measures in terms of full prob- ability densities is a difficult task. In this letter, we ask if there is an effective way of eliciting beliefs as distributions in the context of online surveys. Relying on experimental evidence, we evaluate the performance of five different elicitation methods designed to capture citizens’ uncertain expectations. Our results suggest that an elicitation method originally proposed by Manski (2009) performs well. It measures average citizens’ subjective belief distributions reliably and is easily implemented in the context of regular (online) surveys. We expect that a wider use of this method will lead to considerable improvements in the study of citizens’ expectations and beliefs.
 
Subject Social Sciences
 
Contributor Leemann, Lucas