We study social learning in a social network setting where agents receive independent noisy signals about the truth …

The novelty of our model is to combine models of collective action on networks with models of social learning. Agents …

We study the impact of bots on social learning in a social network setting. Regular agents receive independent noisy …

macroeconomic models in which agents are boundedly rational and use an adaptive learning rule to form expectations of the endogenous … estimate it empirically. Two prominent learning algorithms are considered, namely constant gain and decreasing gain learning …. For each of the two learning rules, the analysis proceeds in two stages. First, the paper derives the asymptotic …

estimation of the parameters in an auxiliary model. The learning scheme employed by the agents belongs to the class of stochastic …

In this paper we test the celebrated `Strength of weak ties' theory of Granovetter (1973). We test two hypotheses on …