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



Share Proceeding

Featured papers

See More

Featured

Q5. Conceptualizing the Digital Experience in Luxury

Wided Batat, American University Beirut

Read More

Featured

Doing Worse but Feeling Better: Consequences of Collective Choice

Nuno Jose Lopes, University of Navarra
Elena Reutskaja, IESE Business School

Read More

Featured

Visual Perceptual Research in Marketing

Kevin L. Sample, University of Georgia, USA
Henrik Hagtvedt, Boston College, USA
S. Adam Brasel, Boston College, USA

Read More

Engage with Us

Becoming an Association for Consumer Research member is simple. Membership in ACR is relatively inexpensive, but brings significant benefits to its members.