An important problem in descriptive and prescriptive research in decision making is to identify "regions of rationality," i.e., the areas for which simple, heuristic models are and are not effective. To map the contours of such regions, we derive probabilities that models identify the best of m...

When can a single variable be more accurate in binary choice than multiple sources of information? We derive analytically the probability that a single variable (SV) will correctly predict one of two choices when both criterion and predictor are continuous variables. We further provide analogous...

An important problem in descriptive and prescriptive research in decision making is to identify “regions of rationality,” i.e., the areas for which heuristics are and are not effective. To map the contours of such regions, we derive probabilities that heuristics identify the best of m...

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The effectiveness of decision rules depends on characteristics of both rules and environments. A theoretical analysis of environments specifies the relative predictive accuracies of the lexicographic rule 'take-the-best' (TTB) and other simple strategies for binary choice. We identify three...

The effectiveness of decision rules depends on characteristics of both rules and environments. A theoretical analysis of environments specifies the relative predictive accuracies of the “take-the-bestâ€\x9D heuristic (TTB) and other simple strategies for choices between two outcomes...

Learning processes are widely held to be the mechanism by which boundedly rational agents adapt to environmental changes. We argue that this same outcome might also be achieved by a different mechanism, namely specialisation and the division of knowledge, which we here extend to the consumer...

In this paper, a case for Velupillai's Computable Economics is made. It is claimed that the methodological approach and results (theorems) of classical recursion theory and constructive mathematics should be at the foundation of theorizing in economics. The major point is that Turing machine...