Analysis of cross category dependence in market basket selection

By Gary J. Russell, A. Petersen. 2000

321 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Marketing

View Paper: https://www.semanticscholar.org/paper/83470fa92448fe41f9b25329e10c6399f853035c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

In Marketing

Citations in the corpus

Analyzing Brand Competition across Subcategories (2004, background): “For example, a price increase may reduce store traffic and thus negatively affect sales of items in all categories (Chintagunta and Haldar 1998; Russell and Petersen 2000; Song and Chintagunta 2002; Walters 1991).”
Retail forecasting: Research and practice (2019, background): “However, cross-category price elasticities appear to be small, limiting the scope for improving forecasts using complementarity (Russell and Petersen, 2000).”
Product Complements and Substitutes in the Real World: The Relevance of “Other Products” (2004, background): “A brand name that has strong associations in one product category (e.g., Johnson’s Baby Shampoo) may transfer the associations to others (e.g., bandages, talcum powder) that may be weak complements (Loken and John 1993; Russell and Petersen 2000).”
A Discrete–Continuous Model for Multicategory Purchase Behavior of Households (2007, background): “For example, Manchanda, Ansari, and Gupta (1999), Russell and Petersen (2000), and Chib, Seetharaman, and Strijnev (2002) investigate households’ multicategory purchase incidence decisions.”
A General Choice Model for Bundles with Multiple-Category Products: Application to Market Segmentation and Optimal Pricing for Bundles (2003, background): “…to Market Segmentation and Optimal Pricing for Bundles Although the strategy of bundling is widely used in a variety of industries (ranging from fast foods to hightechnology), research in marketing has not emphasized the development of utility models for bundle choices (Russell et al. 1999).”
Identifying demand effects in a large network of product categories (2015, background): “s in our cross-category demand eects application using aggregate store level data. Other cross-category studies, such as Russell and Kamakura (1997); Ainslie and Rossi (1998); Russell et al. (1999); Russell and Petersen (2000); Elrod et al. (2002) use market basket data. Since the availability and u”