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Efficient Allocation and Pricing of Multifeatured Items

Author

Listed:
  • Ozan Candogan

    (Booth School of Business, University of Chicago, Chicago, Illinois 60637)

  • Saša Pekeč

    (Fuqua School of Business, Duke University, Durham, North Carolina 27708)

Abstract

We introduce feature valuations, a new class of valuations that compactly capture preferences of agents who value items based on the features they possess. Such preferences are relevant in many important practical settings, such as Internet advertising markets (where impressions have associated attributes), labor markets (where workers’ skills/titles correspond to features), and long-term bond markets (where coupon payments can be associated with features). We focus on settings where features can be organized in a tree network, and features possessed by items are captured by paths on the tree. In such settings, under appropriate consistency conditions, we establish that Walrasian equilibria exist. In addition, we provide a computationally tractable price update algorithm that terminates with market-clearing prices that support an efficient outcome.

Suggested Citation

  • Ozan Candogan & Saša Pekeč, 2018. "Efficient Allocation and Pricing of Multifeatured Items," Management Science, INFORMS, vol. 64(12), pages 5521-5543, December.
    • Handle: RePEc:inm:ormnsc:v:64:y:2018:i:12:p:5521-5543
    DOI: 10.1287/mnsc.2017.2917
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    References listed on IDEAS

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