We report experiments designed to test between Nash equilibria that are stable and unstable under learning. The “TASP” (Time Average of the Shapley Polygon) gives a precise prediction about what happens when there is divergence from equilibrium under fictitious play like learning processes....

We study the interplay of inequality and trust in a dynamic game, in which trust increases efficiency and thus allows higher growth of the experimental economy in the future. We find that trust is initially high in a treatment starting with equal endowments, but decreases over time. In a...