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Two paradigms are commonly used to examine risky choice based on experiential sampling. The feedback paradigm involves a large number of repeated, consequential choices with feedback about the chosen (partial feedback) or chosen and foregone (full feedback) payoffs. The sampling paradigm invites cost-free samples before a single consequential choice. Despite procedural differences, choices in both experience-based paradigms suggest underweighting of rare events relative to their objective probability. This contrasts with overweighting when choice options are described, thereby leading to a 'gap' between experience and description-based choice. Behavioural data and modelbased analysis from an experiment comparing choices from description, sampling, and partial-and full-feedback paradigms replicated the 'gap', but also indicated significant differences between feedback and sampling paradigms. Our results suggest that mere sequential experience of outcomes is insufficient to produce reliable underweighting. We discuss when and why underweighting occurs, and implicate repeated, consequential choice as the critical factor.

Interest is increasing in using behavioral decision insights to design better product labels. A specific policy target is the fuel economy label, which policy makers can use to encourage reduction in carbon dioxide emissions from transport-related fossil-fuel combustion. In two online experiments, the authors examine whether vehicle preferences can be shifted toward more fuel-efficient vehicles by manipulating the metric (consumption of gas vs. cost of gas) and scale (100 miles vs. 15,000 miles vs. 100,000 miles) on which fuel economy information is expressed. They find that preference for fuel-efficient vehicles is highest when fuel economy is expressed in terms of the cost of gas over 100,000 miles, regardless of whether the vehicle pays for its higher price in gas savings. The authors discuss the underlying psychological mechanisms for this finding, including compatibility, anchoring, and familiarity effects, and conclude that policy makers should initiate programs that communicate fuelefficiency information in terms of costs over an expanded, lifetime scale.

Every attribute can be expressed in multiple ways. For example, car fuel economy can be expressed as fuel efficiency (“miles per gallon”), fuel cost in dollars, or tons of greenhouse gases emitted. Each expression, or “translation,” highlights a different aspect of the same attribute. We describe a new mechanism whereby translated attributes can serve as decision “signposts” because they (1) activate otherwise dormant objectives, such as proenvironmental values and goals, and (2) direct the person toward the option that best achieves the activated objective. Across three experiments, we provide evidence for the occurrence of such signpost effects as well as the underlying psychological mechanism. We demonstrate that expressing an attribute such as fuel economy in terms of multiple translations can increase preference for the option that is better aligned with objectives congruent with this attribute (e.g., the more fuel-efficient car for those with proenvironmental attitudes), even when the new information is derivable from other known attributes. We discuss how using translated attributes appropriately can help align a person’s choices with their personal objectives. The online appendix is available at https://doi.org/10.1287/mnsc.2016.2703 . This paper was accepted by Yuval Rottenstreich, judgment and decision making.