Since Kahneman and Tversky (1979), it has been generally recognized that decision makers overweight low probabilities and underweight high probabilities. Of the several weighting functions that have been proposed, that of Prelec (1998) has the attractions that it is parsimonious, consistent with...

Evidence shows that (i) people overweight low probabilities and underweight high probabilities, but (ii) ignore events of extremely low probability and treat extremely high probability events as certain. Decision models, such as rank dependent utility (RDU) and cumulative prospect theory (CP),...

This paper we seek to develop a knowledge transfer model from knowledge economic theory. Knowledge transfer is accepted as the end of the cycle in the knowledge process it is therefore important to have a knowledge transfer model from existing knowledge economic theory. Endeavoring to build this...

In this paper, we introduce cost benefit rules for projects embedded in a stochastic optimal growth framework. We model uncertainty in terms of Brownian motion and Ito integrals. Taking the mathematical expectation of the project means that the Ito integrals vanish, and we end up with a cost...

This paper develops a weighted additive model for certainty equivalents of binary gambles with a segregation form, in the sense that they are decomposition into sure gains and risky gambles. The effect of adding a sure gain to the preference for a risky gamble is considered to be evaluated by...

A discrete symmetry of a preference relation is a mapping from the domain of choice to itself under which preference comparisons are invariant; a continuous symmetry is a one-parameter family of such transformations that includes the identity; and a symmetry field is a vector field whose...

When risk averse forecasters are presented with risk neutral proper scoring rules, they report probabilities whose ratios are shaded towards 1. If elicited probabilities are used as inputs to decision-making, naive elicitors may violate first-order stochastic dominance.

The changing environment affects agriculture introducing sources of uncertainty. On the other hand, policies to cope with risks may have strong impacts on the environment. We evaluate the effects of public risk management programmes, such as subsidised crop insurance, fertilizer use and land...

How can a decision-maker assess the potential of environmental policies when a group of experts provides divergent estimates on their effectiveness? To address this question, we propose and analyze a variant of the well-studied $\alpha$-maxmin model in decision theory. In our framework, and...

Mathematical algorithms often fail to identify in time when the international financial crises occur although, as the classical theory of choice would suggest, the economic agents are rational and the markets are or should be efficient and behave also rationally. This contribution tries to...