Calculation of the Production Function through Entropy: A Model from Econophysics

Authors

DOI:

https://doi.org/10.17533/udea.le.n103a356738

Keywords:

Economic Entropy, Cobb-Douglas function, production, Microeconomics, Econophysics

Abstract

From an economic perspective, the problems associated with production require a model for its estimation. These estimations are typically made using the Cobb-Douglas production function, which is derived from least-squares adjustment. However, several authors have proposed alternative methods for calculating production based on the relationship between economic and thermodynamic problems. Our study provides a method for calculating the production function through entropy, which explicitly considers the contributions of labor and capital. In this way, we apply the model to the data presented in the Cobb-Douglas study on the production of the manufacturing sector in the United States. Our results accurately describe the production data, highlight the need to estimate the Boltzmann constant in the economic model, and provide a method for determining its value

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Author Biographies

Isabel Cristina Betancur, Universidad de Medellín

Professor at Universidad de Medellín, Faculty of Economic Sciences, Medellín, Colombia

Efraín Arango-Sánchez, Universidad de Medellín

Professor at Universidad Autónoma Latinoamericana, Faculty of Economic Sciences, Medellín, Colombia

Álvaro Hernán Bedoya-Calle, Universidad de Medellín

Independent Scholar

Francisco J. Caro- Lopera, Universidad de Medellin

Professor at Universidad de Medellín, Faculty of Basic Sciences, Medellín, Colombia

Éver Alberto Velásquez Sierra, Universidad de Medellín

Professor at Universidad de Medellín, Faculty of Basic Sciences, Medellín, Colombia

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Published

2025-05-09

How to Cite

Betancur, I. C., Arango-Sánchez, E., Bedoya-Calle, Álvaro H., Caro- Lopera, F. J., & Velásquez Sierra, Éver A. (2025). Calculation of the Production Function through Entropy: A Model from Econophysics. Lecturas De Economia, (103), 77–106. https://doi.org/10.17533/udea.le.n103a356738

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