175 research outputs found

    Price Flexibility in Channels of Distribution: Evidence from Scanner Data

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    In this study, we empirically examine the extent of price rigidity using a unique store-level time series data set - consisting of (i) actual retail transaction prices, (ii) actual wholesale transaction prices which represent both the retailers' costs and the prices received by manufacturers, and (iii) a measure of manufacturers' costs - for twelve goods in two widely used consumer product categories. We simultaneously examine the extent of price rigidity for each of the twelve products at both, final goods and intermediate goods levels. We study two notions of price rigidity employed in the existing literature: (i) the frequency of price changes, and (ii) the response of prices to exogenous cost changes. We find that retail prices exhibit remarkable flexibility in terms of both notions of price rigidity. i.e., they change frequently and they seem to respond quickly and fully to cost changes. Furthermore, we find that retail prices respond not just to their direct costs, but also to the upstream manufacturers' costs, which further reinforces the extent of the retail price flexibility. At the intermediate goods level of the market, in contrast, we find relatively more evidence of rigidity in the response of manufacturers prices to cost changes. This despite the fact that wholesale prices change frequently and therefore exhibit flexibility according to the first notion of price rigidity.Price Flexibility, Price Rigidity, Final Goods Market, Intermediate Goods Market, Stages of Processing, Structural VAR, Scanner Data, Transaction Price Data, Frequency of Price Changes, Price Response to Exogeneous Cost Changes, Retail Price, Wholesale Price, New Keynesian Macroeconomics, How Markets Clear, Time Series Analysis, Orange Juice, Orange Juice Frozen Concentrate, Futures Market

    The Magnitude of Menu Costs: Direct Evidence from Large U.S. Supermarket Chains

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    We use store-level data to document the exact process of changing prices and to directly measure menu costs at five multi-store supermarket chains. We show that changing prices in these establishments is a complex process, requiring dozens of steps and a nontrivial amount of resources. The menu costs average 105,887/yearperstore,comprising0.70105,887/year per store, comprising 0.70% of revenues, 35.2% of net margins, and 0.52/price change. These menu costs may be forming a barrier to price changes. Specifically, (1) a supermarket chain facing higher menu costs (due to item pricing laws which require a separate price tag on each item) changes prices 2 1/2 times less frequently than the other four chains; (2) within this chain, the prices of products exempt from the law are changed over three times more frequently than the products subject to the law.Menu Cost, Posted Prices, Multiproduct Retailer, Price Rigidity, Sticky Prices, Rigid Prices, Cost of Price Adjustment, New Keynesian Economics, Time Dependent Pricing

    Holiday Price Rigidity and Cost of Price Adjustment

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    Using unique retail and wholesale price data for 4,532 products carried by a major Midwestern grocery retailer, we find evidence of significant retail price rigidity during the Thanksgiving through Christmas holiday period relative to the rest of the year. We suggest that this pattern of holiday retail price rigidity is best explained by an increased opportunity cost of changing prices at these stores during the holiday period. Evidence based on discussions with retail managers suggests that during holidays the physical, managerial, and customer costs of changing prices rise considerably. Due to higher store traffic, performing tasks such as restocking shelves, handling customers’ questions and inquiries, running cash registers, cleaning, and bagging, become more urgent during holidays and thus receive priority. As a result, the holiday-period opportunity cost of price adjustment increases dramatically for the stores. The data provide a natural experimental setting to study variation in price rigidity because the products, stores, and surrounding institutional features and arrangements, including the market structure, the contractual arrangements, and the nature of relationships, etc., do not change between holiday and non-holiday weeks.Price Rigidity, Price Flexibility, Cost of Price Adjustment, Menu Cost, Holidays, Thanksgiving Holiday, Christmas Holiday, Scanner Data, Transaction Price Data, Retail Price, Wholesale Price, Natural Experiment, Opportunity Cost of Changing Price

    Menu Costs, Posted Prices, and Multiproduct Retailers

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    We use a unique store-level data set to directly measure menu costs and to study the price change process at a large U.S. drugstore chain. We compare and contrast the magnitude of these measures with similar measures from 4 large U.S. supermarket chains. We find that (1) the actual magnitude of menu costs as a share of revenues, (2) menu costs per price change, (3) the frequent use of promotional pricing, and (4) the use of weekly pricing rules, are similar across both retail formats. Given that the main common features of these two types of retail formats are that (i) they both use posted prices, and (ii) both are multiproduct retailers selling a large number of products, our findings suggest that the magnitude of the menu cost components we measure, and the price change practices we document, may be generalizable across retail formats with these two features.Menu Cost, Posted Prices, Multiproduct Retailer, Price Rigidity, Sticky Prices, Cost of Price Adjustment, Time Dependent Pricing

    What Can the Price Gap between Branded and Private Label Products Tell Us about Markups?

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    In this paper we investigate the size of markups for nationally branded products sold in the U.S. retail grocery industry. Using scanner data from a large Midwestern supermarket chain, we compute several measures of upper and lower bounds on markup ratios for over 230 nationally branded products in 19 categories. Our method is based on the insight that retail and wholesale prices of private label products provide information on marginal costs that are also applicable to the appropriately matched nationally branded products. Under reasonable assumptions - the accuracy of which we consider in some detail - the wholesale price of a private label product is an upper bound for the marginal manufacturing cost of its nationally branded equivalent, while the retailer's margin on the national brand is an upper bound on the retailer's marginal handling cost for both the brand and private label versions. We find that lower bounds on the 'full' markup ratio range from 3.44 for toothbrushes and 2.23 for soft drinks to about 1.15-1.20 for canned tuna and frozen entrees, with the majority of categories falling in the range 1.40-2.10. Lower bounds on manufacturers' markups are even higher. Thus the data indicate that markups on nationally branded products sold in U.S. supermarkets are large.

    Private Label Price Rigidity during Holiday Periods

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    Using weekly retail transaction scanner price data from a large U.S supermarket chain, we find significantly higher retail price rigidity for private label products than for nationally branded products during the Christmas and Thanksgiving holiday periods relative to the rest of the year. The finding cannot be explained by changes in holiday period promotional practices because we find that private label promotions appear to diminish at least as much as national brands. The increased rigidity of private label products relative to national brands is only partially accounted for by increased rigidity of wholesale prices. After ruling out other potential explanations, we suggest that the higher private label price rigidity might be due to the increased emphasis on social consumption during holiday periods, raising the customers’ value of nationally branded products relative to the private labels.Price Rigidity, Holidays, Private Label, National Brand, Social Consumption

    Price Adjustment at Multiproduct Retailers

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    We empirically study the price adjustment process at multiproduct retail stores. We use a unique store level data set for five large supermarket and one drugstore chains in the U.S., to document the exact process required to change prices. Our data set allows us to study this process in great detail, describing the exact procedure, stages, and steps undertaken during the price change process. We also discuss various aspects of the microeconomic environment in which the price adjustment decisions are made, factors affecting the price adjustment decisions, and firm-level implications of price adjustment decisions. Specifically, we examine the effects of the complexity of the price change process on the stores’ pricing strategy. We also study how the steps involved in the price change process, combined with the laws governing the retail price setting and adjustment, along with the competitive market structure of the retail grocery industry, influence the frequency of price changes. We also examine how the mistakes that occur in the price change process influence the actions taken by these multiproduct retailers. In particular, we study how these mistakes can make the stores vulnerable to civil law suits and penalties, and also damage their reputation. We also show how the mistakes can lead to stock outs or unwanted inventory accumulations. Finally, we discuss how retail stores try to minimize these negative effects of the price change mistakes.Cost of Price Adjustment, Price Adjustment Process, Menu Cost, Posted Prices, Multiproduct Retailer, Price rigidity, Sticky Prices, Frequency of Price Changes, Time Dependent Pricing, Retail Supermarket and Drugstore Chains
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