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C91 - Laboratory, Individual Behavior

Laboratory, Individual Behavior

JEL Code: 

Testing Models of Social Learning on Networks: Evidence from a Lab Experiment in the Field

Agents often use noisy signals from their neighbors to update their beliefs about a state of the world. The effectiveness of social learning relies on the details of how agents aggregate information from others. There are two prominent models of information aggregation in networks: (1) Bayesian learning, where agents use Bayes’ rule to assess the state of the world and (2) DeGroot learning, where agents instead consider a weighted average of their neighbors’ previous period opinions or actions.

Keep Up With the Winners: Evidence on Risk Taking, Asset Integration, and Peer Effects

The paper reports the result of an experimental game on asset integration and risk taking. We and some evidence that winnings in earlier rounds affect risk taking in subsequent rounds, but no evidence that real life wealth outside the experiment affects risk taking. Controlling for past winnings, participants receiving a low endowment in a round engage in more risk taking. We test a 'keeping-up-with-the-Joneses' hypothesis and and some evidence that subjects seek to keep up with winners, though not necessarily average earnings.

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