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Synthetic Labor Market Index: construction and application to the Spanish case

dc.contributor.authorÁlvarez Fernández, Gustavoes-ES
dc.contributor.authorRoch Dupré, Davides-ES
dc.contributor.authorGómez Bengoechea, Gonzaloes-ES
dc.date.accessioned2025-09-15T13:11:30Z
dc.date.available2025-09-15T13:11:30Z
dc.date.issued2025-09-19es_ES
dc.identifier.issn0143-7720es_ES
dc.identifier.urihttps://doi.org/10.1108/IJM-04-2024-0252es_ES
dc.descriptionArtículos en revistases_ES
dc.description.abstractPurpose Traditional labor market indicators capture specific aspects or realities rather than offering an integrated view of its performance. We propose a comprehensive tool to analyze labor market performance, guide policy decision-making and motivate academic research from a holistic perspective: the Synthetic Labor Market Index (SLMI). Design/methodology/approach The SLMI is a composite indicator formed by 30 variables grouped into four categories: Unemployment, Employment, Protection for the Unemployed and Salaries. This paper discusses the SLMI’s construction, the results for the case of Spain (2008–2022), and its relationship with other economic indicators. Specifically, we empirically test the validity of the indicator under Okun’s Law’s theoretical background. Findings Our analysis demonstrates the robustness of the SLMI from the methodological and empirical standpoints, which suggests its potential usefulness for academic research and policy formulation. Originality/value The SLMI proposed by the paper is unprecedented at depicting the labor market in a holistic way.es-ES
dc.description.abstractPurpose Traditional labor market indicators capture specific aspects or realities rather than offering an integrated view of its performance. We propose a comprehensive tool to analyze labor market performance, guide policy decision-making and motivate academic research from a holistic perspective: the Synthetic Labor Market Index (SLMI). Design/methodology/approach The SLMI is a composite indicator formed by 30 variables grouped into four categories: Unemployment, Employment, Protection for the Unemployed and Salaries. This paper discusses the SLMI’s construction, the results for the case of Spain (2008–2022), and its relationship with other economic indicators. Specifically, we empirically test the validity of the indicator under Okun’s Law’s theoretical background. Findings Our analysis demonstrates the robustness of the SLMI from the methodological and empirical standpoints, which suggests its potential usefulness for academic research and policy formulation. Originality/value The SLMI proposed by the paper is unprecedented at depicting the labor market in a holistic way.en-GB
dc.format.mimetypeapplication/octet-streames_ES
dc.language.isoen-GBes_ES
dc.sourceRevista: International Journal of Manpower, Periodo: 1, Volumen: online, Número: 8, Página inicial: 1563, Página final: 1586es_ES
dc.subject.otherInstituto de Investigación Tecnológica (IIT)es_ES
dc.titleSynthetic Labor Market Index: construction and application to the Spanish casees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.rights.holderes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.keywordsLabor market, Composite indicator, Okun's law, Synthetic indexes-ES
dc.keywordsLabor market, Composite indicator, Okun's law, Synthetic indexen-GB


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