This study examines the value of utilizing neural net modeling for issues relating to optimization across a network of cities in space. Neural nets are made up of many nonlinear computational elements that operate in parallel and are arranged in a manner similar to biological neural nets....

Recent policy proposals call for setting up a benchmark indexed bond market to prevent "Sudden Stops". This paper analyzes the macroeconomic implications of these bonds using a general equilibrium model of a small open economy with financial frictions. In the absence of indexed bonds, negative...

In our paper we investigate how network effects influence the dynamics of oligopoly on mature telecommunication markets. The model covers four categories of agents: telecommunication operators, customers joined into housholds and market regulator. The market state aware firms use reinforcement...

This paper sets out first, to quantify the stabilization gains from commitment in terms of household welfare and second, to examine how commitment to an optimal or approximately optimal rule can be sustained as an equilibrium in which reneging hardly ever occurs. We utilize an influential...

Efficient algorithms for diagnosing influential data points are investigated. Techniques examining potentially influential subsets are considered. Given a list of candidate observations, a new row-dropping algorithm (RDA) computes all possible observation-subset regression models. It employs a...

Population aging threatens to severely destabilize the public finances of a majority of European countries. This unfavorable demographic prospect is usually reinforced by a widespread tendency to anticipate retirement. Reversing this tendency has been identified as a crucial factor to improve...