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Friend-Based Ranking in Practice

Author

Listed:
  • Francis Bloch
  • Matthew Olckers

Abstract

A planner aims to target individuals who exceed a threshold in a characteristic, such as wealth or ability. The individuals can rank their friends according to the characteristic. We study a strategy-proof mechanism for the planner to use the rankings for targeting. We discuss how the mechanism works in practice when the rankings may contain errors.

Suggested Citation

  • Francis Bloch & Matthew Olckers, 2021. "Friend-Based Ranking in Practice," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 567-571, May.
    • Handle: RePEc:aea:apandp:v:111:y:2021:p:567-71
    DOI: 10.1257/pandp.20211060
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    References listed on IDEAS

    as
    1. Vivi Alatas & Abhijit Banerjee & Arun G. Chandrasekhar & Rema Hanna & Benjamin A. Olken, 2016. "Network Structure and the Aggregation of Information: Theory and Evidence from Indonesia," American Economic Review, American Economic Association, vol. 106(7), pages 1663-1704, July.
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    Cited by:

    1. Xupeng Wei & Achilleas Anastasopoulos, 2021. "Mechanism Design for Demand Management in Energy Communities," Games, MDPI, vol. 12(3), pages 1-34, July.
    2. Follett, Lendie & Henderson, Heath, 2023. "A hybrid approach to targeting social assistance," Journal of Development Economics, Elsevier, vol. 160(C).
    3. Matthew Olckers & Toby Walsh, 2022. "Manipulation and Peer Mechanisms: A Survey," Papers 2210.01984, arXiv.org, revised Nov 2023.

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    More about this item

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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