Impact Bias Or Underestimation? Outcome Specifications Determine the Direction of Affective Forecasting Errors

When outcome specifications are positively correlated with hedonic impact (magnitude, duration), forecasters overestimate the extent to which high (low) specification values will intensify (discount) its impact. When negatively correlated with hedonic impact (probability, psychological distance), forecasters overestimate the extent to which low (high) specification values will intensify (discount) its impact.



Citation:

Eva Buechel, Carey Morewedge, and Jiao Zhang (2016) ,"Impact Bias Or Underestimation? Outcome Specifications Determine the Direction of Affective Forecasting Errors", in NA - Advances in Consumer Research Volume 44, eds. Page Moreau, Stefano Puntoni, and , Duluth, MN : Association for Consumer Research, Pages: 400-403.

Authors

Eva Buechel, University of South Carolina, USA
Carey Morewedge, Boston University, USA
Jiao Zhang, University of Oregon, USA



Volume

NA - Advances in Consumer Research Volume 44 | 2016



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