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Another look at loss aversion in brand choice data: Can we characterize the loss averse consumer?

机译:另一种看待品牌选择数据中的损失规避:我们可以描述消费者的损失规避特征吗?

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摘要

Much research has focused on the effects of reference prices on brand choice decisions using scanner panel data. The theory and application are well-documented and accepted. However, researchers have found contrary results on the existence of loss aversion in consumer goods markets. Loss aversion is a phenomenon based on the reference dependent theory that consumers respond more to losses (reference price < price) than to gains (reference price > price). The mixed results on the existence of loss aversion can be a result of not adequately accounting for consumer heterogeneity in response to marketing effects. Therefore, we focus our analysis on loss aversion and adequately accounting for consumer heterogeneity. We estimate a reference dependent model with a mixed logit specification that allows for a continuous distribution of response heterogeneity in the population. We use Gibbs Sampling to obtain individual estimates. Our estimation results from two different consumer goods categories, which show that the degree of loss aversion is small after properly accounting for heterogeneity. Further, we accomplish a posterior analysis and investigate whether the individual response to gains and losses can be attributed to consumer specific characteristics. The relation of the estimated individual specific variables to households' sociodemographic and psychographic variables as well as to observed purchase behavior reveal interesting insights into which consumers respond more or less to price deviations from their reference point. Hence, our results are important for the development of effective pricing strategies and the timing of price promotions.
机译:许多研究都集中在参考价格对使用扫描仪面板数据进行品牌选择决策的影响上。该理论和应用已得到充分证明和接受。然而,研究人员发现在消费品市场上存在规避损失的相反结果。损失规避是一种基于参考依赖理论的现象,即消费者对损失(参考价格<价格)的反应比对收益(参考价格>价格)的反应要大。损失规避存在的混合结果可能是由于没有充分考虑到消费者对市场效应的异质性而导致的。因此,我们将分析的重点放在损失规避上,并充分考虑消费者的异质性。我们估计具有混合logit规范的参考相关模型,该模型允许在种群中连续分布响应异质性。我们使用吉布斯抽样来获得单个估计。我们的估算结果来自两个不同的消费品类别,这表明在适当考虑了异质性之后,损失规避的程度很小。此外,我们完成了后验分析,并调查了个人对收益和损失的反应是否可以归因于消费者的特定特征。估计的个体特定变量与家庭的社会人口统计学和心理变量以及观察到的购买行为之间的关系揭示了有趣的见解,消费者对这些偏离或多或少地反应了其参考点的价格偏差。因此,我们的结果对于制定有效的定价策略和价格促销的时间很重要。

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