An Experimental Study of Persuasion Bias and Social Influence in Networks
In many areas of social life individuals receive information about a particular issue of interest from multiple sources. When these sources are connected through a network then proper aggregation of this information by an individual involves taking into account the structure of this network. The inability to aggregate properly may lead to various types of distortions. In our experiment a number of agents all want to find out the value of a particular parameter unknown to all. Agents receive private signals about the parameter and agents can communicate their estimates of the parameter repeatedly through a network, the structure of which is known by all players. We present results from experiments with four different networks. We find that the information of agents who have more outgoing links in a network gets more weight in the information aggregation of the other agents than it optimally should. Our results are consistent with the model of “persuasion bias” of De Marzo et al. (2003) and at odds with an alternative heuristic according to which the most influential agents are those with more incoming links.
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- Markus Mobius & Tuan Phan & Adam Szeidl, 2015.
"Treasure Hunt: Social Learning in the Field,"
NBER Working Papers
21014, National Bureau of Economic Research, Inc.
- Mobius, Markus & Phan, Tuan & Szeidl, Adam, 2015. "Treasure Hunt: Social Learning in the Field," CEPR Discussion Papers 10493, C.E.P.R. Discussion Papers.
- Markus Mobius & Tuan Phan & Adam Szeidl, 2015. "Treasure Hunt: Social Learning in the Field," CEU Working Papers 2015_2, Department of Economics, Central European University.
- Enke, Benjamin & Zimmermann, Florian, 2013.
"Correlation Neglect in Belief Formation,"
IZA Discussion Papers
7372, Institute for the Study of Labor (IZA).
- Enke, Benjamin & Zimmermann, Florian, 2013. "Correlation Neglect in Belief Formation," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79900, Verein für Socialpolitik / German Economic Association.
- Benjamin Enke & Florian Zimmermann, 2013. "Correlation Neglect in Belief Formation," CESifo Working Paper Series 4483, CESifo Group Munich.
- Benjamin Enke & Florian Zimmermann, 2013. "Correlation Neglect in Belief Formation," Bonn Econ Discussion Papers bgse04_2013, University of Bonn, Germany.
- Pietro Battiston & Luca Stanca, 2014. "Boundedly Rational Opinion Dynamics in Directed Social Networks: Theory and Experimental Evidence," Working Papers 267, University of Milano-Bicocca, Department of Economics, revised Jan 2014.
- Pietro Battiston & Luca Stanca, 2015. "Boundedly Rational Opinion Dynamics in Social Networks: Does Indegree Matter?," LEM Papers Series 2015/11, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Armin Falk & James J. Heckman, 2009. "Lab Experiments are a Major Source of Knowledge in the Social Sciences," Working Papers 200935, Geary Institute, University College Dublin.
- Falk, Armin & Heckman, James J., 2009. "Lab Experiments Are a Major Source of Knowledge in the Social Sciences," IZA Discussion Papers 4540, Institute for the Study of Labor (IZA).
- Falk, Armin & Heckman, James J, 2010. "Lab Experiments are a Major Source of Knowledge in the Social Sciences," CEPR Discussion Papers 7620, C.E.P.R. Discussion Papers.
- Armin Falk & James J. Heckman, 2009. "Lab Experiments are a Major Source of Knowledge in the Social Sciences," CESifo Working Paper Series 2894, CESifo Group Munich.
- Gale, Douglas & Kariv, Shachar, 2003. "Bayesian learning in social networks," Games and Economic Behavior, Elsevier, vol. 45(2), pages 329-346, November.
- Daron Acemoglu & Munther A. Dahleh & Ilan Lobel & Asuman Ozdaglar, 2011. "Bayesian Learning in Social Networks," Review of Economic Studies, Oxford University Press, vol. 78(4), pages 1201-1236.
- Abhijit Banerjee & Arun G. Chandrasekhar & Esther Duflo & Matthew O. Jackson, 2012. "The Diffusion of Microfinance," NBER Working Papers 17743, National Bureau of Economic Research, Inc.
- Peter M. DeMarzo & Dimitri Vayanos & Jeffrey Zwiebel, 2003. "Persuasion Bias, Social Influence, and Unidimensional Opinions," The Quarterly Journal of Economics, Oxford University Press, vol. 118(3), pages 909-968.
- Zwiebel, Jeffrey H. & Vayanos, Dimitri & DeMarzo, Peter M., 2001. "Persuasion Bias, Social Influence, and Uni-Dimensional Opinions," Research Papers 1719, Stanford University, Graduate School of Business.
- DeMarzo, Peter M. & Vayanos, Dimitri & Zwiebel, Jeffrey, 2003. "Persuasion bias, social influence, and uni-dimensional opinions," LSE Research Online Documents on Economics 454, London School of Economics and Political Science, LSE Library.
- Corazzini, Luca & Pavesi, Filippo & Petrovich, Beatrice & Stanca, Luca, 2012. "Influential listeners: An experiment on persuasion bias in social networks," European Economic Review, Elsevier, vol. 56(6), pages 1276-1288.
- Luca Corazzini & Filippo Pavesi & Beatrice Petrovich & Luca Stanca, 2010. "Influential Listeners: An Experiment on Persuasion Bias in Social Networks," Working Papers 196, University of Milano-Bicocca, Department of Economics, revised Aug 2010.
- Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June. Full references (including those not matched with items on IDEAS)
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