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Targeting in networks under costly agreements

Author

Listed:
  • Mohamed Belhaj

    (AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique, ECM - École Centrale de Marseille)

  • Frédéric Deroïan

    (AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

  • Shahir Safi

    (Concordia University [Montreal])

Abstract

We consider agents organized in an undirected network of local complementarities. A principal with a fixed budget offers costly bilateral contracts in order to increase the sum of agents' effort. We study contracts rewarding effort exceeding the effort made in the absence of the principal. First, targeting a subgroup of the whole society becomes optimal under substantial contracting costs, which significantly increases the computational complexity of the principal's problem. In particular, under sufficiently low intensity of complementarities, a correspondence is established between optimal targeting and an NP-hard problem. Second, for any intensities of complementarities, the optimal unit returns offered to all targeted agents are positive for all contracting costs and in general heterogeneous, even though networks are undirected. Yet, heterogeneity never leads to negative returns, which implies that, with these linear payment schemes, coordination is never an issue for the principal.

Suggested Citation

  • Mohamed Belhaj & Frédéric Deroïan & Shahir Safi, 2023. "Targeting in networks under costly agreements," Post-Print hal-04090079, HAL.
  • Handle: RePEc:hal:journl:hal-04090079
    DOI: 10.1016/j.geb.2023.03.003
    Note: View the original document on HAL open archive server: https://amu.hal.science/hal-04090079v1
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    Cited by:

    1. Margherita Comola & Agnieszka Rusinowska & Marie Claire Villeval, 2024. "Competing for Influence in Networks Through Strategic Targeting [En compétition pour l'influence dans les réseaux grâce au ciblage stratégique]," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-04706311, HAL.
    2. Daeyoung Jeong & Tongseok Lim & Euncheol Shin, 2024. "Robust Intervention in Networks," Papers 2501.00235, arXiv.org, revised Feb 2025.
    3. Bloch, Francis & Shabayek, Shaden, 2023. "Targeting in social networks with anonymized information," Games and Economic Behavior, Elsevier, vol. 141(C), pages 380-402.

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    Keywords

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    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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