Detalle Publicación

ARTÍCULO

Credit-to-GDP ratios - non-linear trends and persistence: evidence from 44 OECD economies

Autores: Malmierca, M. (Autor de correspondencia); Gil Alaña, Luis Alberiko; Cuestas, J. C.
Título de la revista: JOURNAL OF ECONOMIC STUDIES
ISSN: 0144-3585
Volumen: 50
Número: 3
Páginas: 448 - 463
Fecha de publicación: 2023
Resumen:
Purpose In particular, in this article, the authors investigate the degree of persistence in the credit-to-gross domestic product (GDP) ratio in 44 Organisation for Economic Co-operation and Development (OECD) economies in the context of nonlinear deterministic trends. Design/methodology/approach The authors use Chebyshev's polynomials in time, which allow us to model changes in the data in a smoother way than by structural breaks. Findings This study's results indicate that approximately one-quarter of the series display non-linear structures, and only Argentina displays a mean reverting pattern. Research limitations/implications Policy implications of the results obtained are discussed at the end of the manuscript. Originality/value The authors use an approach developed that allows for non-linear trends based on Chebyshev polynomials in time, with the residuals being fractionally integrated or integrated of order d, where d can be any real value.
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