Structural Stability Analysis in a Dynamic IS-LM-AS Macroeconomic Model with Inflation Expectations

Author:

Bazán Navarro Ciro Eduardo1ORCID,Benazic Tomé Renato Mario2ORCID

Affiliation:

1. Economics Department, Faculty of Business Science, Universidad San Ignacio de Loyola, Lima, Peru

2. Facultad de Ciencias Matemáticas, Departamento Académico de Matemáticas, Universidad Nacional Mayor de San Marcos (UNMSM), Lima, Peru

Abstract

In this article, we carry out the structural analysis of an IS-LM-AS macroeconomic model with adaptive inflation expectations, exploring the presence of a possible local bifurcation. We prove that the model is structurally unstable when the speed with which economic agents adjust their expectations about future inflation is equal to the inverse of the semi-elasticity of real money demand with respect to the nominal interest rate since the periodic solutions are lost when the adaptive expectations parameter suffer any small change, ceteris paribus. Additionally, the phase portraits of the instantaneous rate of change of the real interest rate, the inflation rate, and the instantaneous rate of change of the inflation rate are numerically simulated in 3 with MATLAB for three asymptotically and locally stable cases and for the degenerate Hopf bifurcation. Finally, our results show that, specifically, in the case of pure conjugate complex eigenvalues, the economy could enter periods of an inflationary/deflationary spiral when the adaptive expectations parameter is of greater magnitude to the inverse of the semi-elasticity of real money demand balances with respect to the nominal interest rate, regardless of its initial state.

Publisher

Hindawi Limited

Subject

Applied Mathematics,Analysis

Reference49 articles.

1. Bridging the Gap between Economic Modelling and Simulation: A Simple Dynamic Aggregate Demand-Aggregate Supply Model with Matlab

2. Economic Dynamics

3. Dynamic IS-LM-AS model augmentated by the inflation expectations;K. Szomolányi;International Journal of Mathematical and Computational Methods,2016

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