Generalization of the Aoki-Yoshikawa sectoral productivity model based on extreme physical information principle
Ilona Bednarek, Marcin Makowski, Edward W. Piotrowski, Jan, S{\l}adkowski, Jacek Syska

TL;DR
This paper generalizes the Aoki-Yoshikawa productivity model using information theory, providing exact solutions and demonstrating potential for broader applications beyond economics.
Contribution
It introduces a continuous variable extension of the model using the extreme physical information principle, offering a novel analytical approach.
Findings
Exact solutions derived using information theoretical methods
First order approximation aligns with traditional models
Applicable to various research fields
Abstract
This paper presents a continuous variable generalization of the Aoki-Yoshikawa sectoral productivity model. Information theoretical methods from the Frieden-Soffer extreme physical information statistical estimation methodology were used to construct exact solutions. Both approaches coincide in first order approximation. The approach proposed here can be successfully applied in other fields of research.
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Taxonomy
TopicsStatistical Mechanics and Entropy
