Business cycle asynchrony in European countries: a nonlinear panel data analysis

This study employs a Nonlinear Asynchronous Multilevel Smooth Transition Panel (NAML-STP) model to investigate the asynchrony of economic cycles among European Union countries. Utilizing GDP data from 27 EU nations, the research reveals significant nonlinear characteristics and sequential differences in the timing of exiting economic contraction phases. The findings highlight the importance of understanding economic cycle asynchrony for global economic governance, risk prevention, and policy formulation.

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Publication Details

Journal
Applied Economics Letters
Published
2025-02-26
DOI
https://doi.org/10.1080/13504851.2025.2472029
Primary Topic
Monetary Policy and Economic Impact
Type
article
Field-Weighted Citation Impact
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article

Business cycle asynchrony in European countries: a nonlinear panel data analysis

Jin Zeng, Ruoxun Ma
Applied Economics Letters
Monetary Policy and Economic Impact
article

Business cycle asynchrony in European countries: a nonlinear panel data analysis

Jin Zeng, Ruoxun Ma
article en

Abstract

This study employs a Nonlinear Asynchronous Multilevel Smooth Transition Panel (NAML-STP) model to investigate the asynchrony of economic cycles among European Union countries. Utilizing GDP data from 27 EU nations, the research reveals significant nonlinear characteristics and sequential differences in the timing of exiting economic contraction phases. The findings highlight the importance of understanding economic cycle asynchrony for global economic governance, risk prevention, and policy formulation.

Applied Economics Letters
University of Glasgow (GB), College of Business and Technology (US)
Openalex Percentile: Top 95%
Monetary Policy and Economic Impact
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