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 analyzes the regression problem for small and undersized sample. Two classical algorithms are compared: Simulated Annealing (SA) versus Repetitive Stochastic Guesstimation (RSG). An improved version of RSG is built and compared to the previous two algorithms. The author concludes that...

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...

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...