opportunities to identify learning rules, since on networks (compared to, e.g., random matching) more rules differ in terms of their … information they consult before making their choices. We use these data to estimate learning types using finite mixture models … find that learning depends on network position. Participants in more complex environments (with more network neighbors …

In this paper we study learning procedures when counterfactuals (payo s of not-chosen actions) are not observed. The … decision marker's behavior when such axioms are in place. -- Adaptive Learning ; Counterfactuals ; Partial Information … ; Reinforcement Learning …