We introduce learning in a dynamic game of international pollution, with ecological uncertainty. We characterize and … ecological uncertainty but they gain information (learn) about it. We then compare our learning model with the benchmark model of … anticipative learning induces a decrease in total emissions, but not necessarily in individual emissions. Further, the effect of …

Observational learning is typically examined when agents have precise information about their position in the sequence … individuals and receive a private signal about the state of the world. We show that social learning is robust to position … uncertainty. Under any sampling rule satisfying a stationarity assumption, learning is complete if signal strength is unbounded …

level below the equilibrium or natural rate. While descriptions of the theory emphasize the imbalance between consumption …

behavioural models suggested by psychology (i.e., weighted probabilities applied to regret and rejoice theory), and by updating … probability estimations and outcome preferences according to the learning models suggested by neuroscience (i.e., adaptive … learning aimed at reducing surprises), and analogous to Bayesian updating. The search context is derived from experimental …

demand. The former learning effect, combined with the latter real-options effect, adversely affect firms' entry decisions and …