Retailers’ strategies and food price dynamics: Evidence from dairy scanner data
Silvia Platoni and
Paolo Sckokai ()
Food Policy, 2018, vol. 74, issue C, 212-224
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.
Keywords: Food price dynamics; GEKS index; Retail strategies; Error Component Model (search for similar items in EconPapers)
JEL-codes: Q18 C23 C43 E31 L11 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:jfpoli:v:74:y:2018:i:c:p:212-224
Access Statistics for this article
Food Policy is currently edited by J. Kydd
More articles in Food Policy from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().