Recursive least squares learning is a central concept employed in selecting amongst competing outcomes of dynamic stochastic economic models. In employing least squares estimators, such learning relies on the assumption of a symmetric loss function defined over estimation errors. Within a...

This paper investigates the relative importance of shocks to total factor productivity (TFP) versus the marginal efficiency of investment (MEI) in explaining cyclical variations. The literature offers contrasting results: TFP shocks are important in neoclassical environments, while relatively...

A consensus seems to be emerging in economics that at least three motives are at work in many strategic decisions: distributive preferences, reciprocal preferences and self-interest. An important obstacle to this research, however, has been moral biases, i.e., the distortions created by...