Spending Predictions: the Effects of Unpacking Based on Typicality

Spending predictions are key drives of important life decisions, so it is critical to understand the underlying psychology. We demonstrate that unpacking a target category of spending can increase, decrease, or leave predictions unaffected, based on the typicality of the unpacked components and the perceived spending on them.



Citation:

Konstantinos Hadjichristidis, Kishore Gopalakrishna Pillai, and Bidisha Burman (2016) ,"Spending Predictions: the Effects of Unpacking Based on Typicality", in NA - Advances in Consumer Research Volume 44, eds. Page Moreau, Stefano Puntoni, and , Duluth, MN : Association for Consumer Research, Pages: 734-734.

Authors

Konstantinos Hadjichristidis, University of Trento, Italy
Kishore Gopalakrishna Pillai, Norwich Business School; University of East Anglia, U.K.
Bidisha Burman, University of Mary, Washington



Volume

NA - Advances in Consumer Research Volume 44 | 2016



Share Proceeding

Featured papers

See More

Featured

Understanding the Framing of Recommendations

Jia Gai, Erasmus University Rotterdam, The Netherlands
Anne-Kathrin Klesse, Erasmus University Rotterdam, The Netherlands

Read More

Featured

Crossing Race and Markets: Introducing the Race in the Marketplace Research Network

Kevin D Thomas, University of Texas at Austin, USA
Sonya Grier, American University, USA
Guillaume D Johnson, Université Paris-Dauphine

Read More

Featured

Promoting Pi Day: Consumer Inferences about Special Day-Themed Promotions

Daniel M. Zane, University of Miami, USA
Kelly Haws, Vanderbilt University, USA
Rebecca Walker Reczek, Ohio State University, 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.