This paper integrates data envelopment analysis (DEA) and artificial neural networks (ANN) to forecast the role of public expenditure in economic growth in OCDE countries. The results show that this approach is a powerful and appropriate method to forecast this role. DEA method allows us to...

An artificial neural network (hence after, ANN) is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. In previous two decades, ANN applications in economics and finance; for such tasks as pattern reorganization, and...

An artificial neural network (hence after, ANN) is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. In previous two decades, ANN applications in economics and finance; for such tasks as pattern reorganization, and...

We develop a general method to solve models of interactions between multiple agents, including the possibility of strategic advantage for some of them. We argue that this type of model applies to the description of apparently irrational or biased behaviors in a person whose action is the...

The application of game theory and cognitive economy to analyze the problem of undesired location - The analysts of the processes of public bodies decision - taking have long been discussing on the establishment of proper strategies to manage "environmental conflicts" - above all the so-called...

Previous literature presented a predation model based on agency problems in financial contracting. In that model, predation reduced prey’s cash flow through breaking the relationship between the prey and its investors as the prey is financially constrained. This paper presents a different...

A recent neurobiology study showed that monkeys systematically prefer risky targets in a visual gambling task. We set a similar experiment with preschool children to assess their attitudes toward risk and found the children, like the monkeys, to be risk seeking. This suggests that adult humans...

Neuroeconomics focuses on brain imaging studies mapping neural responses to choice behavior. Economic theory is concerned with choice behavior but it is silent on neural activities. We present a game theoretic model in which players are endowed with an additional structure - a simple "nervous...

The focus of this study is on black markets which provide an important segment of the parallel economy. These markets operate in disequilibrium,search and information costs become very important.Trafficking in drugs taken as case, to explore both theoretically and empirically. The problem,...

This paper advocates that some limits of the rational agent hypothesis result from the improper assumption that one individual should be modeled as a single rational agent. We model an individual composed of two autonomous and interacting structures, conscious and unconscious. Each agent utility...