High-frequency inflation forecasting: A two-step machine learning methodology

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dc.contributor.authorOsmar Bolivar
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T15:23:01Z
dc.date.available2026-03-22T15:23:01Z
dc.date.issued2025
dc.descriptionCitaciones: 2
dc.identifier.doi10.1016/j.latcb.2025.100172
dc.identifier.urihttps://doi.org/10.1016/j.latcb.2025.100172
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/52048
dc.language.isoen
dc.publisherElsevier BV
dc.relation.ispartofLatin American Journal of Central Banking
dc.sourceMinisterio de Salud
dc.subjectInflation (cosmology)
dc.subjectComputer science
dc.subjectEconometrics
dc.subjectArtificial intelligence
dc.subjectMachine learning
dc.subjectEconomics
dc.titleHigh-frequency inflation forecasting: A two-step machine learning methodology
dc.typearticle

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