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Non-Linearity between Inflation and Economic Growth in Emerging Economies: A Threshold Regression Approach Cover

Non-Linearity between Inflation and Economic Growth in Emerging Economies: A Threshold Regression Approach

Open Access
|Mar 2026

Abstract

Purpose

This study examines the threshold effect of inflation on economic growth for 14 EMEs (Emerging Market Economies) from 1990 to 2022 using both panel and time series data.

Design/methodology/approach

We used Hansen’s (1999; 2000) endogenous TAR method to estimate country-specific inflation thresholds for 14 EMEs and applied panel threshold regression to determine the collective inflation threshold for these economies.

Findings

Our findings suggest that inflation rates below 9.9977% benefit economic growth, while rates above this threshold are harmful. Time series analyses for the 14 EMEs consistently indicate a single threshold, with an average threshold rate of 6.79%. This closely aligns with the literature’s average of 6%, supporting our results’ robustness.

Originality

Our study differs from the earlier studies in four ways. Firstly, this study estimates the threshold impact of inflation with respect to economic growth in case of 14 EMEs as no such study has been done yet for these countries. Secondly, we have employed the latest TAR model suggested Hansen (1999, 2000) for empirical estimation of time series and panel threshold model for panel data respectively. Thirdly, we have used a large pool of data for the period of 1990-2022. Fourth, we have empirically determined the panel threshold inflation rate for 14 emerging market economies and also the country-specific threshold inflation rates for each of these nations individually.

DOI: https://doi.org/10.2478/ers-2025-0033 | Journal eISSN: 2451-182X | Journal ISSN: 2083-3725
Language: English
Page range: 472 - 490
Submitted on: Aug 1, 2025
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Accepted on: Sep 1, 2025
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Published on: Mar 21, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2026 Suresh Kumar Patra, Ansar Hussain, Mahesh Barale, published by John Paul II University of Applied Sciences
This work is licensed under the Creative Commons Attribution 4.0 License.