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Citations for "Experiments with network formation"

by Corbae, Dean & Duffy, John

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  1. Rong Rong & Daniel Houser, 2012. "Growing Stars: A Laboratory Analysis of Network Formation," Working Papers 1035, George Mason University, Interdisciplinary Center for Economic Science, revised Oct 2012.
  2. Falk, Armin & Kosfeld, Michael, 2003. "It's all about Connections: Evidence on Network Formation," IZA Discussion Papers 777, Institute for the Study of Labor (IZA).
  3. Jackson, Matthew O. & Watts, Alison, 2010. "Social games: Matching and the play of finitely repeated games," Games and Economic Behavior, Elsevier, vol. 70(1), pages 170-191, September.
  4. Yaron Leitner, 2004. "Financial networks: contagion, commitment, and private sector bailouts," Working Papers 02-9, Federal Reserve Bank of Philadelphia.
  5. K. de Jaegher, 2009. "All-purpose minimal sufficient networks in the threshold game," Working Papers 09-07, Utrecht School of Economics.
  6. Arthur Schram & Boris Van Leeuwen & Theo Offerman, 2013. "Superstars Need Social Benefits: An Experiment on Network Formation," Working Papers 1306, Departament Empresa, Universitat Autònoma de Barcelona, revised Jul 2013.
  7. Offerman, Theo & Schram, Arthur & Van Leeuwen, Boris, 2014. "Competition for status creates superstars: An experiment on public good provision and network formation," IAST Working Papers 14-16, Institute for Advanced Study in Toulouse (IAST).
  8. Harmsen - van Hout, Marjolein J.W. & Dellaert, Benedict G.C. & Herings, P. Jean-Jacques, 2010. "Behavioral Effects in Individual Decisions of Network Formation: Complexity Reduces Payoff Orientation and Social Preferences," FCN Working Papers 5/2010, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
  9. Takács, Károly, 2010. "Hálózati kísérletek
    [Network experiments]
    ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 958-979.
  10. Siegfried Berninghaus & Stephan Schosser & Bodo Vogt, 2013. "Equilibrium Selection under Limited Control - An Experimental Study of the Network Hawk-Dove Game," Jena Economic Research Papers 2013-048, Friedrich-Schiller-University Jena.
  11. Charness, Gary & Feri, Francesco & Meléndez-Jiménez, Miguel A. & Sutter, Matthias, 2012. "Equilibrium Selection in Experimental Games on Networks," University of California at Santa Barbara, Economics Working Paper Series qt51v6w9hd, Department of Economics, UC Santa Barbara.
  12. Andrew Kloosterman, 2016. "Directed search with heterogeneous firms: an experimental study," Experimental Economics, Springer;Economic Science Association, vol. 19(1), pages 51-66, March.
  13. repec:pit:wpaper:334 is not listed on IDEAS
  14. Huck, Steffen & Lünser, Gabriele K. & Tyran, Jean-Robert, 2012. "Competition fosters trust," Games and Economic Behavior, Elsevier, vol. 76(1), pages 195-209.
  15. Michael Kosfeld, "undated". "Network Experiments," IEW - Working Papers 152, Institute for Empirical Research in Economics - University of Zurich.
  16. Matthew O. Jackson, 2003. "A Survey of Models of Network Formation: Stability and Efficiency," Game Theory and Information 0303011, EconWPA.
  17. Riedl Arno & Rohde Ingrid M.T. & Strobel Martin, 2011. "Efficient Coordination in Weakest-Link Games," Research Memorandum 057, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
  18. Yangbo Song & Mihaela Schaar, 2015. "Dynamic network formation with incomplete information," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 59(2), pages 301-331, June.
  19. Mengel Friederike & Romero José Gabriel & Kovarik Jaromir, 2009. "(Anti-) Coordination in Networks," Research Memorandum 041, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
  20. 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, 09.
  21. Goeree, Jacob K. & Riedl, Arno & Ule, Aljaz, 2009. "In search of stars: Network formation among heterogeneous agents," Games and Economic Behavior, Elsevier, vol. 67(2), pages 445-466, November.
  22. Iryna Sikora, 2015. "Creative Production and Exchange of Ideas," 2015 Papers psi700, Job Market Papers.
  23. Mariya Teteryatnikova & James Tremewan, 2015. "Stability in Network Formation Games with Streams of Payoffs: An Experimental Study," Vienna Economics Papers 1508, University of Vienna, Department of Economics.
  24. Jasmina Arifovic & George Evans & Olena Kostyshyna, 2013. "Are Sunspots Learnable? An Experimental Investigation in a Simple General-Equilibrium Model," Staff Working Papers 13-14, Bank of Canada.
  25. Klarita Gerxhani & Jordi Brandts & Arthur Schram, 2011. "The Emergence of Social Structure: Employer Information Networks in an Experimental Labor Market," Tinbergen Institute Discussion Papers 11-032/1, Tinbergen Institute.
  26. Siegfried Berninghaus & Stephan Schosser & Bodo Vogt, 2015. "Myopic behavior and overall utility maximization - A study of linked hawks and doves -," FEMM Working Papers 150014, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
  27. Harmsen - van Hout, Marjolein J.W. & Dellaert, Benedict G.C. & Herings, P. Jean-Jacques, 2016. "Heuristic decision making in network linking," European Journal of Operational Research, Elsevier, vol. 251(1), pages 158-170.
  28. Leon Petrosyan & Artem Sedakov, 2016. "The Subgame-Consistent Shapley Value for Dynamic Network Games with Shock," Dynamic Games and Applications, Springer, vol. 6(4), pages 520-537, December.
  29. Berninghaus, Siegfried & Ehrhart, Karl-Martin & Ott, Marion, 2008. "Myopically forward-looking agents in a network formation game : theory and experimental evidence," Papers 08-02, Sonderforschungsbreich 504.
  30. Berninghaus, Siegfried K. & Ehrhart, Karl-Martin & Ott, Marion, 2012. "Forward-looking behavior in Hawk–Dove games in endogenous networks: Experimental evidence," Games and Economic Behavior, Elsevier, vol. 75(1), pages 35-52.
  31. Matthew O. Jackson, 2002. "The Stability and Efficiency of Economic and Social Networks," Microeconomics 0211011, EconWPA.
  32. Cassar, Alessandra & Rigdon, Mary, 2011. "Trust and trustworthiness in networked exchange," Games and Economic Behavior, Elsevier, vol. 71(2), pages 282-303, March.
  33. Md. Sayed Iftekhar & John G. Tisdell, 2016. "An Agent Based Analysis of Combinatorial Bidding for Spatially Targeted Multi-Objective Environmental Programs," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 64(4), pages 537-558, August.
  34. Berninghaus, Siegfried & Ehrhart, Karl-Martin & Ott, Marion, 2005. "A network experiment in continuous time : the influence of link costs," Papers 05-02, Sonderforschungsbreich 504.
  35. Filippo Vergara Caffarelli, 2009. "Networks with decreasing returns to linking," Temi di discussione (Economic working papers) 734, Bank of Italy, Economic Research and International Relations Area.
  36. Di Cagno, Daniela & Sciubba, Emanuela, 2010. "Trust, trustworthiness and social networks: Playing a trust game when networks are formed in the lab," Journal of Economic Behavior & Organization, Elsevier, vol. 75(2), pages 156-167, August.
  37. Sayed, Iftekhar & John, Tisdell, 2016. "An agent based analysis of the impacts of land use restriction and network structures on participation in conservation reserve programs," Working Papers 250161, University of Western Australia, School of Agricultural and Resource Economics.
  38. Doğan, Gönül & van Assen, Marcel & Potters, Jan, 2013. "The effect of link costs on simple buyer–seller networks," Games and Economic Behavior, Elsevier, vol. 77(1), pages 229-246.
  39. Schuster, Stephan, 2012. "Applications in Agent-Based Computational Economics," MPRA Paper 47201, University Library of Munich, Germany.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.