Range-Dependent Attribute Weighting in Consumer Choice: An Experimental Test

Social Science Research Network(2021)

引用 4|浏览1
暂无评分
摘要
This paper investigates whether the range of an attribute’s outcomes in the choice set alters its relative importance. I derive distinguishing predictions of two prominent theories of range-dependent attribute weighting: the focusing model of Koszegi and Szeidl (2013) and the relative-thinking model of Bushong, Rabin, and Schwartzstein (2020). I test these predictions in a laboratory experiment in which I vary the prices of high- and low-quality variants of multiple products. The data provide clear evidence of choice-set dependence consistent with relative thinking: price increases that expand the range of prices in the choice set lead to more purchases. Structural estimates imply economically meaningful effect sizes: the average participant was willing to pay around 17% more when a seemingly irrelevant option is added to their choice set.
更多
查看译文
关键词
consumer choice,attribute,range‐dependent
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要