Incorporating heterogeneity with store-level aggregate data
Incorporating heterogeneity with store-level aggregate data
复制标题
将异构性与商店级聚合数据相结合
DOI：
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发表时间：
1995
期刊：
影响因子：
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通讯作者：
Byung
中科院分区：
文献类型：
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作者：
Byung
本文介绍了一种方法，将异构性的商店级汇总数据的分析。该模型使用两组扫描仪面板数据，金枪鱼和番茄酱，以及相应的每周汇总数据进行验证。该模型较之以往的线性模型、半对数模型和对数-对数模型具有一定的优越性。首先，从模型估计的交叉价格弹性显示的价格促销的非对称反应非常接近的logit模型应用于面板数据。其次，该模型具有较好的预测性能。
This paper introduces a methodology to incorporate heterogeneity in the analysis of store level aggregate data. The proposed model is validated using two sets of scanner panel data, for tuna and ketchup, and their corresponding weekly aggregate data. The model recovers the true parameters with acceptable accuracy.The model has several advantages over the previous aggregate models, such as the linear model, the semilog model, and the log-log model. First, the cross-price elasticities estimated from the model show the asymmetric responses to the price promotions very close to those from the logit model applied to the panel data. Second, the model shows better prediction performance.