Repeated Price Search

被引:0
|
作者
A. Norman
J. Berman
K. Brehm
M. Drake
A. Dyer
J. Frisby
C. Govil
C. Hinchey
L. Heuer
J. Ke
S. Kejriwal
K. Kuang
S. Keyburn
S. Ler
K. Powers
A. Robertson
J. Sanghai
C. Schulze
J. Schieck
J. Sussman
L. Tan
A. Tello
R. Wang
K. Yan
T. Zeinullayev
机构
[1] The University of Texas at Austin,Department of Economics
来源
Computational Economics | 2012年 / 39卷
关键词
Price search; Experiment; Online;
D O I
暂无
中图分类号
学科分类号
摘要
Consumers check few sites in online purchases. Previous research and experiments we perform demonstrate that consumers can not calculate the optimal strategy for price search. They use heuristics whose performance is better than random and less than optimal. To investigate online price search performance we survey student online textbook purchases. Students achieve good performance because they start with a good strategy and online market organization of marketplace and meta-search sites. An important factor is that algorithms at sites searched perform calculations that reduce the computational complexity of the search.
引用
收藏
页码:243 / 257
页数:14
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