Uncertainty of one's future is the essential problem of saving decisions. Unlike previous experimental studies, we capture this crucial uncertainty by a scenario-based satisficing approach. Decision makers first form aspirations for a few relevant scenarios, and then search for consumption plans guaranteeing these aspirations. Our aim is to investigate whether agents make satisficing choices and, if so, how satisficing relates to optimality. We find that satisficing allocations can be reached easily when aspirations are incentivized, although aspiration levels are rather far from what optimality suggests. (C) 2009 Elsevier Inc. All rights reserved.
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Univ Texas El Paso, Coll Business Adm, Informat & Decis Sci Dept, El Paso, TX 79968 USAUniv Texas El Paso, Coll Business Adm, Informat & Decis Sci Dept, El Paso, TX 79968 USA
Chung, Wenming
Talluri, Srinivas
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Michigan State Univ, Dept Supply Chain Management, Eli Broad Grad Sch Management, E Lansing, MI 48824 USAUniv Texas El Paso, Coll Business Adm, Informat & Decis Sci Dept, El Paso, TX 79968 USA
Talluri, Srinivas
Narasimhan, Ram
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Michigan State Univ, Dept Supply Chain Management, Eli Broad Grad Sch Management, E Lansing, MI 48824 USAUniv Texas El Paso, Coll Business Adm, Informat & Decis Sci Dept, El Paso, TX 79968 USA