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1. PREDICCION MATEMATICA DE LA RELACION MARGINAL CAPITAL PRODUCTO ANUAL CON BASE EN UNA METODOLOGIA FUNDAMENTADA EN LA CAMINATA AL AZAR PROBABILISTICA.

Author

REYES BERNAL-BELLON, JOSE, RODRIGUEZ, JAIME, RODRIGUEZ VELASQUEZ, JAVIER OSWALDO, CORREA HERRERA, SANDRA CATALINA, PRIETO BOHORQUEZ, SIGNED ESPERANZA, and GAITAN MENDEZ, JORGE ELIECER

Subjects
*MACROECONOMICS, *ECONOMIC expansion, *DATABASES, *PROBABILITY theory, *CAPITAL productivity, *FORECASTING, *RANDOM walks
Abstract

It has been shown that the variability of the marginal capital product ratio is what determines the growth rate of economies according to Harrod's model; therefore, it is important to predict its behavior. This paper develops a methodology based on probabilistic random walk to predict the annual marginal capital product ratio of Colombia for the year 2017 based on information from the Penn World Table database from 1993 to 2016. It was found that this variable has underlying mathematical orders, which allows its prediction with an accuracy of 97.69%. [ABSTRACT FROM AUTHOR]

Published
2023

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