This paper attempts to describe the graphical behavior of the distributed lag model in an infinite coordinate space. The "mega distributed lag model" (MDL) is a mathematical framework that can examine the simultaneous interrelationships between all involved variables. The multidimensional...

Purpose - The purpose of this paper is to explore the concept of pensionomics as a prospective tool for pension evaluation. This paper suggests a paradigm shift - a multi-disciplinary synthesis of differing perspectives in evaluating pension's overall performance based on past work on pension...

The rationale of Econographicology revolves around the efficacy of multi-dimensional (MD) graphs in the storage of meta-database and visualization of multi-variable data behavior based on the application of Cartesian spaces (or MD Cartesian coordinate system). Thereby, the mission of...

This paper starts from the doctoral thesis on non-cooperative games by John Forbes Nash and applies a multidimensional coordinate space approach to visualize a full model of non-cooperative games in the same graphical space and time, with infinity equilibrium points, solutions, strong solutions,...

The rationale of Econographicology revolves around the efficacy of graphs as the most effective analytical tool for visualization of any economic phenomena. The main motivation behind the creation of Econographicology is to evaluate graphs evolved so far in economics and to develop new types of...

This paper is interested to show the limitations that the 2-Dimensional and 3-Dimensional graphs are showing when we try to visualize the behavior of large number of variables, equations and functions in the same graphical space. Therefore, we suggest the application of multi-dimensional graphs...

This paper focuses on the application of multi-dimensional Cartesian spaces in the graphical visualization of Gross Domestic Product (GDP) historical trend of any country. The main objective to use multi-dimensional Cartesian spaces is to observe all possible changes of all variables...