Stochastic Frontier I & D of fractal dimensions for technological innovation

TL;DR

This paper introduces a stochastic frontier analysis of fractal dimensions related to technological innovation, utilizing high-frequency data to model production possibilities and assess causality and accuracy in the context of R&D, GDP, and employment.

Contribution

It develops a novel stochastic frontier model incorporating fractal dimensions for analyzing technological innovation and causality using high-frequency data.

Findings

Demonstrates the applicability of fractal dimensions in stochastic frontier analysis.

Provides insights into the causality between R&D, GDP, and employment.

Validates the model's accuracy with high-frequency data.

Abstract

This paper presents an analysis of the study variables such as gdp, employment levels, the level of R & D and technology that will serve as the basis for stochastic modeling of production possibilities frontier in the goodness of fractal dimensions Ex Ante and Ex Post a priori to determine the levels of causality immediately and check its accuracy and power of indexing, using high frequency data and thus address the response this assumption of stochastic frontiers with level N of partitions in time.