Discrete Dynamic Systems in Economics: A Study of Linear Difference Equations and Nonlinear Models with Naive and Adaptive Expectations

Descripción del Articulo

This study investigates market dynamics using a discrete economic model of supply and demand. Initially, the linear case with naïve or static expectations is analyzed, and the stability conditions that lead to different system behaviors, such as convergence to equilibrium, periodic oscillations, or...

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Detalles Bibliográficos
Autor: Matos Tejada, Jose Luis
Formato: artículo
Fecha de Publicación:2025
Institución:Universidad Nacional de Trujillo
Repositorio:Revistas - Universidad Nacional de Trujillo
Lenguaje:español
OAI Identifier:oai:ojs.revistas.unitru.edu.pe:article/6638
Enlace del recurso:https://revistas.unitru.edu.pe/index.php/SSMM/article/view/6638
Nivel de acceso:acceso abierto
Materia:Ecuación en diferencias
puntos fijos
estabilidad
series de tiempo
bifurcación
Difference equation
fixed points
stability
Time series
bifurcation
Descripción
Sumario:This study investigates market dynamics using a discrete economic model of supply and demand. Initially, the linear case with naïve or static expectations is analyzed, and the stability conditions that lead to different system behaviors, such as convergence to equilibrium, periodic oscillations, or divergence, are determined analytically through the study of fixed points and cobweb dynamics. Subsequently, the analysis is extended to the nonlinear case with adaptive expectations, where the interaction between supply nonlinearity and the expectation formation process is found to generate complex behaviors. The results show how variations in the nonlinearity parameter induce bifurcations observable in time series. The study provides a comprehensive analytical framework that links mathematical properties with observable economic phenomena, offering tools to predict and manage stability in real markets, with direct applications in economic policy and financial risk management.
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