Seminars

Abstract: We conduct experiments on the binary signal binary action observational learning problem on networks. Agents initially guess the binary state of the world after observing a private signal. In subsequent rounds, agents observe their neighbors' previous guesses before guessing again. How does network structure shape information aggregation? We consider groups of 10 and 40 located in social networks — Erdos-Renyi, Stochastic block (reflecting homophily), royal family (reflecting `influencers') and RGG (containing clans). We show that networks have powerful effects on social learning -- whether the groups converge to consensus and if they do whether they choose the correct or the wrong guess. We study decision rules that can account for individual behaviour in these networks.

* 본 세미나는 VEAEBES(Virtual East Asia Experimental and Behavioral Economics Seminar series) 주최로 열리는 세미나입니다.

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