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  • July–August 2016
  • Article
  • Marketing Science

Minimum Advertised Pricing: Patterns of Violation in Competitive Retail Markets

By: Ayelet Israeli, Eric Anderson and Anne Coughlan
  • Format:Print
  • | Pages:26
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Abstract

Manufacturers in many industries frequently use vertical price policies, such as minimum advertised price (MAP), to influence prices set by downstream retailers. Although manufacturers expect retail partners to comply with MAP policies, violations of MAP are common in practice. In this research, we document and explain both the extent and the depth of MAP policy violations. We also shed light on how retailers vary in their propensity to violate MAP policies and the depth by which they do so. Our inductive research approach documents managerial wisdom about MAP practices. We confront these insights from practice with a large empirical study that includes hundreds of products sold through hundreds of retailers. Consistent with managerial wisdom, we find that authorized retailers are more likely to comply with MAP than are unauthorized partners. By contrast to managerial wisdom, we find that authorized and unauthorized markets are largely separate, and that violations in the authorized channel have a small association with violations in the unauthorized channel. Last, we link our results to the literatures on agency theory, transaction cost analysis, and theories of price obfuscation.

Keywords

Pricing Policies; Pricing; Channel Management; Legal Aspects Of Business; Price; Governance Compliance; Marketing Channels; Retail Industry

Citation

Israeli, Ayelet, Eric Anderson, and Anne Coughlan. "Minimum Advertised Pricing: Patterns of Violation in Competitive Retail Markets." Marketing Science 35, no. 4 (July–August 2016): 539–564. (Lead article.)
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About The Author

Ayelet Israeli

Marketing
→More Publications

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    • October 2024
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    Canary Categories

    By: Eric Anderson, Chaoqun Chen, Ayelet Israeli and Duncan Simester
More from the Authors
  • Unintended Consequences of Algorithmic Personalization By: Ayelet Israeli and Eva Ascarza
  • Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning By: Liangzong Ma, Ta-Wei Huang, Eva Ascarza and Ayelet Israeli
  • Canary Categories By: Eric Anderson, Chaoqun Chen, Ayelet Israeli and Duncan Simester
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