We offer a model to explain why groups of people sometimes converge upon poor decisions and are prone to fads, even though they can discuss the outcomes of their choices. Models of informational herding or cascades have examined how rational individuals learn by observing predecessors' actions,...

This paper shows how sustainable consumption patterns can spread within a population via processes of social learning even though a strong individual learning bias may favor environmentally harmful products. We present a model depicting how the biased transmission of different behaviors via...

We study whether households can distinguish persistent from transitory income shocks, and the implications for consumption-saving behavior. We construct a novel consumption-saving model where the household must infer the persistent component of its income process from actual income realizations...

We analyse the dynamics resulting from social learning in a simple general equilibrium (GE) model, whose structure is similar to the one underlying macroeconomic models of the New Macroeconomic Synthesis. The economy is composed by households and firms who exchange labour and consumption goods...

We study whether households can distinguish persistent from transitory income shocks, and the implications for consumption-saving behavior. We construct a novel consumption-saving model where the household must infer the persistent component of its income process from actual income realizations...

Distortions in memory impose important bounds on rationality but have been largely disregarded in economics. While it is possible to learn, it is more difficult, and sometimes impossible, to unlearn. This retention effect lowers individual utility directly or via reduced productivity, and adds...

This article relates agents' learning of a preference for a technology, competition of technologies, and their relative diffusion among potential adopters. Competitive interactions between two technologies are captured by an extended Lotka–Volterra model. To also incorporate preference...

This paper is prepared to provide a brief introduction to the topic of Ensemble Learning. It aims to provide the reader with a broad overview on the approach of Ensemble Methods.Sections:-What is Ensemble Learning?-The Rationale Behind Ensemble Methods-Common Approaches To Ensemble...

We develop a dynamic model to study the interaction between obfuscation and investor sophistication in retail financial markets. Taking into account different learning mechanisms within the investor population, we characterize the optimal timing of obfuscation for a profit-maximizing monopolist....

People may be surprised by noticing certain regularities that hold in existing knowledge they have had for some time. That is, they may learn without getting new factual information. We argue that this can be partly explained by computational complexity. We show that, given a knowledge base,...