Work

Numerical Methods for Modeling Inflation: a Comparative Analysis of Mathematical Models

Year: 2025

Type: conference-paper

Abstract: Inflation modeling is a critical area of research in economic analysis, enabling policymakers and analysts to predict and control inflationary trends effectively. This paper provides a comparative overview of advanced differential equation-based mathematical models used in inflation estimation, including the Poisson equation, the heat equation, Navier-Stokes equations, Hamilton-Jacobi-Bellman (HJB) equation, Kalman filtering, and stochastic differential equations (SDEs). The paper also introduces numerical methods, such as finite difference and iterative algorithms, for solving these models. A concrete example problem related to regional inflation variations is explored, showcasing numerical solutions for better understanding and implementation.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15161608

Author: Javlonbek Turdibekov

Institutions: Academy of Sciences Republic of Uzbekistan, Institute of Mechanics and Seismic Stability of Structures named after M.T. Urazbaev

Language: English

Topic: Monetary Policy and Economic Impact

Subfield: General Economics, Econometrics and Finance

Field: Economics, Econometrics and Finance

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W6930666706

FWCI:

Cites:

Cited by:

Related to: