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Network Structure and Strategic Investments: An Experimental Analysis

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  • S. Rosenkranz
  • U. Weitzel

Abstract

This paper analyzes the effects of network positions and individual risk attitudes on individuals’ strategic decisions in an experiment where actions are strategic substitutes. The game theoretic basis for our experiment is the model of Bramoullé and Kranton (2007). In particular, we are interested in disentangling the influence of global, local and individual factors. We study subjects’ strategic investment decisions in four basic network structures. As predicted, we find that global factors, such as the regularity of the network structure, influence behavior. However, we also find evidence that individual play in networks is to some extent boundedly rational, in the sense that coordination is influenced by local and individual factors, such as the number of (direct) neighbors, local clustering and individuals’ risk attitudes.

Suggested Citation

  • S. Rosenkranz & U. Weitzel, 2008. "Network Structure and Strategic Investments: An Experimental Analysis," Working Papers 08-24, Utrecht School of Economics.
    • Handle: RePEc:use:tkiwps:0824
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    2. Boris van Leeuwen & Theo Offerman & Arthur Schram, 2013. "Superstars need Social Benefits: An Experiment on Network Formation," Tinbergen Institute Discussion Papers 13-112/I, Tinbergen Institute.
    3. Boosey, Luke & Mark Isaac, R., 2016. "Asymmetric network monitoring and punishment in public goods experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 132(PA), pages 26-41.
    4. Gary Charness & Francesco Feri & Miguel A. Meléndez‐Jiménez & Matthias Sutter, 2014. "Experimental Games on Networks: Underpinnings of Behavior and Equilibrium Selection," Econometrica, Econometric Society, vol. 82, pages 1615-1670, September.
    5. Martin Daniel Siyaranamual, 2015. "Are Results of Social- and Self-Image Concerns in Voluntary Contributions Game Similar?," Working Papers in Economics and Development Studies (WoPEDS) 201501, Department of Economics, Padjadjaran University, revised Feb 2015.
    6. Liza Charroin, 2016. "The effect of sequentiality and heterogeneity in network formation games," Working Papers halshs-01368067, HAL.
    7. Edoardo Gallo, 2014. "Communication networks in markets," Cambridge Working Papers in Economics 1431, Faculty of Economics, University of Cambridge.
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    9. Ramalingam, Abhijit & Rojo Arjona, David & Schram, Arthur & Van Leeuwen, Boris, 2015. "Authority and Centrality: Power and Cooperation in Social Dilemma Networks," IAST Working Papers 15-23, Institute for Advanced Study in Toulouse (IAST).
    10. Andreas Leibbrandt & Abhijit Ramalingam & Lauri Sääksvuori & James Walker, 2015. "Incomplete punishment networks in public goods games: experimental evidence," Experimental Economics, Springer;Economic Science Association, vol. 18(1), pages 15-37, March.
    11. repec:eee:jeborg:v:141:y:2017:i:c:p:233-253 is not listed on IDEAS
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    14. Edoardo Gallo & Chang Yan, 2015. "Effciency and equilibrium in network games: An experiment," Cambridge Working Papers in Economics 1546, Faculty of Economics, University of Cambridge.
    15. J.M.J. Delnoij & K.J.M. De Jaegher & S. Rosenkranz, 2014. "Understanding preferences for ascending auctions, Buy-It-Now auctions and fixed prices," Working Papers 14-02, Utrecht School of Economics.
    16. Syngjoo Choi & Edoardo Gallo & Shachar Kariv, 2015. "Networks in the laboratory," Cambridge Working Papers in Economics 1551, Faculty of Economics, University of Cambridge.
    17. Sanjeev Goyal & Stephanie Rosenkranz & Utz Weitzel & Vincent Buskens, 2017. "Information Acquisition and Exchange in Social Networks," Economic Journal, Royal Economic Society, vol. 127(606), pages 2302-2331, November.
    18. Sanjeev Goyal & Stephanie Rosenkranz & Utz Weitzel & Vincent Buskens, 2014. "Individual Search and Social Networks," Working Papers 2014.49, Fondazione Eni Enrico Mattei.

    More about this item

    Keywords

    Social networks; experiment; coordination; strategic substitutes; risk aversion;

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D00 - Microeconomics - - General - - - General
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods

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