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Retailers' strategies and food price dynamics: Evidence from dairy scanner data

机译:零售商的策略和食品价格动态:来自乳制品扫描仪数据的证据

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摘要

We investigate the relationship between retailers' strategies and dairy price dynamics. Using high frequency Italian scanner data for different dairy products, we compute a weekly drift-free price index, specific for product category, chain, and type of store. Exploiting the (unbalanced) panel data structure to control for unobservable strategies by chain, time, and type of store, we test if unobservables are statistically significant in influencing the price dynamics of each of the products covered by our analysis. In general chain and type-of-store specific unobservables play a significant role. Moreover, we identify the role of some observable strategic variables in controlling or in stimulating price inflation rates. We obtain mixed results on the relationship between Private Label (PL) market shares and price trend, while we find price promotions to be more effective if applied to National Brands (NBs) rather than PLs. We conclude with some implications for the potential role of public policies in controlling food inflation.
机译:我们调查零售商战略与乳品价格动态之间的关系。使用高频意大利扫描仪数据进行不同的乳制品,我们计算每周漂移的价格指数,特定于产品类别,链条和商店类型。利用(不平衡)面板数据结构以链条,时间和商店类型控制不可观察的策略,我们测试是否在影响我们分析所涵盖的每种产品的价格动态时统计学意义。在一般的链条和店型特定的UnoSservables发挥着重要作用。此外,我们确定了一些可观察到的战略变量在控制或刺激价格通胀率方面的作用。我们在私人标签(PL)市场份额和价格趋势之间的关系中获得了混合结果,同时我们发现价格促销,如果适用于国家品牌(NBS)而不是PLS更有效。我们的结论是对公共政策在控制食品通货膨胀方面的潜在作用的影响。

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