We isolate and quantify the information channel of peer effects using a unique consumption setting that by construction excludes any scope for common shocks or social pressure—a transaction-level panel dataset of spending paired with crowdsourced information about the spending of anonymous “peer...
Keywords:
Social Learning, Beliefs and Expectations, FinTech, Robo-advising, Social Finance, Information Economics, Household Finance