The purpose of this paper is to present some results of our research in the field of inter-generational learning dynamics and knowledge transfer, with applications in universities. This topic is important because a university is by its own nature a nested knowledge organization, due to a...

Repetitive Stochastic Guesstimation (RSG) is a probabilistic algorithm introduced in Charemza (1996) which mimics the usual guessing of the parameters involved in a complex large macroeconomic model. The paper analyzes the objective function employed by RSG and it establishes sufficient...

The paper presents an econometric estimation for the Aghion and Blanchard (1994) model of the speed of transition for the case of Romania. All the econometric estimations were done by means of three stochastic optimization algorithms (RGS, RSGBOOT and SA), after preliminary Monte Carlo...

We investigate theoretically a voter model or how opinion changes within a community, subject to neighborhood interaction. Under Markov chain modeling, the stationary probability distribution for certain cases is determined in simple analytical form, then its entropy is analyzed.

It is generally admitted that fixed, low input prices for resources cause distortions in the input mix, in the sense of inefficient usage of resources.We consider a particular homogeneous functional form for representing the potential distortions in the input factor quantities in the context of...