A novel test of economic convergence in time series

dc.contributor.authorHualde Bilbao, Javier
dc.contributor.authorOlmo, José
dc.contributor.departmentEconomíaes_ES
dc.contributor.departmentEkonomiaeu
dc.contributor.departmentInstitute for Advanced Research in Business and Economics - INARBEen
dc.date.accessioned2025-02-12T19:35:31Z
dc.date.available2025-02-12T19:35:31Z
dc.date.issued2025-01-03
dc.date.updated2025-02-12T19:19:52Z
dc.description.abstractThis paper proposes a novel test for the hypothesis of economic convergence. We extend the standard definition of convergence based on the parity condition and say that two economies converge if the time series of economic output are positively cointegrated and cotrended. With this definition in place, our main contribution is to propose a test of positive cointegration that does not require estimation of the cointegrating relationship, but is able to differentiate between positive and negative cointegration. Once the possibility of positive cointegration is established in a first stage, we test for cotrending in a second stage. Our sequential proposal enjoys an excellent performance in small samples due to the fast convergence of our novel test statistic under positive cointegration. This is illustrated in a simulation exercise where we report clear evidence showing the outperformance of our proposed method compared to existing methods in the related literature that test for economic convergence using cointegration methods. The results are particularly strong for sample sizes between 25 and 50 observations. The empirical application testing for economic convergence between the G7 group of countries over the period 1990–2022 confirms these findings.en
dc.description.sponsorshipJavier Hualde acknowledges financial support from Grant PID2021-127119NB-I00 funded by MCIN/AEI/10.13039/501100011033 and by 'ERDF A way of making Europe'. Jose Olmo acknowledges financial support from Grant PID2023-147798NB-I00 and Fundación Agencia Aragonesa para la Investigación y el Desarrollo (ARAID). Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature.
dc.format.mimetypeapplication/pdfen
dc.identifier.citationHualde, J., Olmo, J. (2025) A novel test of economic convergence in time series. Empirical Economics, 1-26. https://doi.org/10.1007/s00181-024-02699-5.
dc.identifier.doi10.1007/s00181-024-02699-5
dc.identifier.issn0377-7332
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/53363
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofEmpirical Economics, 2025
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-127119NB-I00/ES/
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2023-147798NB-I00/ES/
dc.relation.publisherversionhttps://doi.org/10.1007/s00181-024-02699-5
dc.rights© The author(s) 2025. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectAsymptotic theoryen
dc.subjectHypothesis testingen
dc.subjectEconomic convergenceen
dc.subjectUnit root testsen
dc.subjectCointegrationen
dc.titleA novel test of economic convergence in time seriesen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
relation.isAuthorOfPublication4ebd996c-7fe3-4b2c-ae2e-670cc238ea7d
relation.isAuthorOfPublication.latestForDiscovery4ebd996c-7fe3-4b2c-ae2e-670cc238ea7d

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