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Assessing heterogeneous time-varying impacts in the debt-growth nexus

dc.contributor.authorGómez Puig, Marta
dc.contributor.authorSosvilla Rivero, Simón Javier
dc.date.accessioned2024-06-14T09:51:34Z
dc.date.available2024-06-14T09:51:34Z
dc.date.issued2024
dc.description.abstractWe empirically identify, measure, and describe the heterogeneity of the debt-growth nexus and the underlying factors that may explain it using panel data for 115 countries from 1995 to 2016. First, countries are endogenously grouped using the grouped fixed effects (GFE) estimator. The GFE estimator endogenously splits the sample into five groups of countries with a distinct estimated effect of public debt-to-GDP ratio on economic growth and allows us to investigate group-specific time-varying impacts. Then, we use a panel data analysis to explore the potential drivers affecting these heterogeneous links’ time-varying magnitude. Our results suggest that the negative impact of public debt on economic growth is moderated by the quality of a country’s institutions and the proportion of productive expenditure but intensified by indebtedness and the maturity of the debt.
dc.description.departmentDepto. de Análisis Económico y Economía Cuantitativa
dc.description.facultyFac. de Ciencias Económicas y Empresariales
dc.description.fundingtypePagado por el autor
dc.description.refereedTRUE
dc.description.statusinpress
dc.identifier.citationGómez-Puig, M., & Sosvilla-Rivero, S. (2024). Assessing heterogeneous time-varying impacts in the debt-growth nexus. Applied Economics, 1–19. https://doi.org/10.1080/00036846.2024.2311068
dc.identifier.doi10.1080/00036846.2024.2311068
dc.identifier.essn1466-4283
dc.identifier.issn0003-6846
dc.identifier.officialurlhttps://doi.org/10.1080/00036846.2024.2311068
dc.identifier.urihttps://hdl.handle.net/20.500.14352/104934
dc.journal.titleApplied Economics
dc.language.isoeng
dc.publisherTaylor and Francis
dc.relation.projectIDIEF 014/2021
dc.relation.projectIDAEI/10.13039/501100011033
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-105986GB-C21/ES/MODELOS PREDICTIVOS PARA EL RIESGO EN SEGUROS Y FINANZAS/
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.cdu33
dc.subject.jelC23
dc.subject.jelF33
dc.subject.jelH63
dc.subject.jelO47
dc.subject.jelO52
dc.subject.keywordPublic debt
dc.subject.keywordEconomic growth
dc.subject.keywordHeterogeneity
dc.subject.keywordGrouped fixed-effects
dc.subject.keywordPanel data
dc.subject.keywordMultinomial logit regression
dc.subject.ucmEconomía
dc.subject.unesco53 Ciencias Económicas
dc.titleAssessing heterogeneous time-varying impacts in the debt-growth nexus
dc.typejournal article
dc.type.hasVersionAM
dspace.entity.typePublication
relation.isAuthorOfPublication13e83682-e923-4f28-a770-1140d295a334
relation.isAuthorOfPublication.latestForDiscovery13e83682-e923-4f28-a770-1140d295a334

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