Abstract:We exploit testing data to gain better understanding on framing effects on decision-making and performance under risk. In a randomized field experiment, we modified the framing of scoring rules for penalized multiple-choice tests. In penalized multiple-choice tests, right answers are typically framed as gains while wrong answers are framed as losses (Mixed-framing). In the Loss-framing proposed, both non-responses and wrong answers are presented in a loss domain. According to our theoretical model, we expect t… Show more
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