This paper describes the application of a reordering algorithm to the equations of econometric models. The algorithm was proposed in 1970 by Van der Giessen and is here applied to the equation format required by the program for stochastic simulation developed at the IBM Scientific Center in Pisa.

DMS/2 (Decisional Models Solution, version 2) is a computer package for solution of nonlinear econometric models. This technical report describes the new features that improve over the DMS-package.

Some results os stochastic simulation of a small Italian macroeconometric model are presented.

Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) is the largest and most ambitious public works program for poverty alleviation, adopted by Government of India since independence. It was implemented in year 2006, starting with the first phase of 200 most backward districts in...

The hedge fund represents a unique investment opportunity for the institutional and private investors in the diffusion-type financial systems. The main objective of this condensed article is to research the hedge fund’s optimal investment portfolio strategies selection in the global capital...

The hedge fund represents a unique investment opportunity for the institutional and private investors in the diffusion-type financial systems. The main objective of this condensed article is to research the hedge fund’s optimal investment portfolio strategies selection in the global capital...

We compare heteroskedasticity-robust inference methods with a large-scale Monte Carlo study based on regressions from 155 reproduction packages of leading economic journals. The results confirm established wisdom and uncover new insights. Among well established methods HC2 standard errors with...

In today’s data-driven world, organizations generate and collect vast amounts of information, yet not all data is managed or utilized with the same degree of efficiency and purpose. This paper investigates the taxonomy and distinctions among white data, grey data, and dark data, offering a...

This paper demonstrates that if we intend to optimally rank order n objects (candidates) each of which has m attributes or rank scores awarded by m evaluators, then the ordinal ranking of objects by the conventional principal component based factor scores turns out to be suboptimal. Three...

In this report, we outline a method for approximating a Markovian (or feedback-Nash) equilibrium of a dynamic game, possibly subject to coupled-constraints. We treat such a game as a "multiple" optimal control problem. A method for approximating a solution to a given optimal control problem via...