{ "item_title" : "Estimating Promotional Effects with Retailer-Level Scanner Data", "item_author" : [" Federal Trade Commission "], "item_description" : "Estimating cross-brand promotional effects with aggregate data requires knowledge of the joint distribution of each brand's promotions. While such information is available in store-level scanner data, it is not included in more aggregated scanner datasets. This book presents a technique for overcoming this difficulty and develops a retailer-level model that incorporates both own- and cross-brand promotions. Promotional activity is integrated into the specification in a manner consistent with the way store-level models control for promotions, thereby avoiding the problem of aggregation bias. The proposed methodology extends the usefulness of retailer-level scanner data by allowing it to answer important questions regarding how the promotions of competing products interact.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/50/273/524/1502735245_b.jpg", "price_data" : { "retail_price" : "12.95", "online_price" : "12.95", "our_price" : "12.95", "club_price" : "12.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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