RIAPA Model for Colombia using SAM matrix

cg.authorship.typesCGIAR multi-centreen
cg.contributor.donorCGIAR Trust Funden
cg.contributor.initiativeNational Policies and Strategies
cg.coverage.countryColombia
cg.coverage.iso3166-alpha2CO
cg.coverage.regionAmericas
cg.coverage.regionSouth America
cg.coverage.regionLatin America and the Caribbean
cg.creator.identifierJohana Marcela Castillo Rivera: 0009-0000-1908-1064
cg.creator.identifierValeria Piñeiro: 0000-0002-4372-7141
cg.creator.identifierLuis Enrique Escalante: 0000-0001-6599-9730
cg.identifier.doihttps://doi.org/10.7910/dvn/dyhlcken
cg.reviewStatusInternal Reviewen
cg.subject.alliancebiovciatAGRICULTUREen
cg.subject.impactAreaNutrition, health and food security
dc.contributor.authorCastillo Rivera, Johana Marcelaen
dc.contributor.authorPiñeiro, Valeriaen
dc.contributor.authorEscalante, Luis Enriqueen
dc.date.accessioned2024-08-21T14:00:16Zen
dc.date.available2024-08-21T14:00:16Zen
dc.identifier.urihttps://hdl.handle.net/10568/151781
dc.titleRIAPA Model for Colombia using SAM matrixen
dcterms.abstractUsing the social accounting matrix for Colombia as input for calibrating the RIAPA Tool (https://www.ifpri.org/project/riapa-model/) from IFPRI for Colombia using the SAM matrix as input for conducting prospective analyses at the entire national economy level serving as a simulation laboratory to experiment with policies, investments, or economic shocks. Methodology:The RIAPA model methodology is based on IFPRI's recursive-dynamic Computable General Equilibrium (CGE) model for country-level economic simulations, with the social accounting matrix as the primary source of information. This model includes nested production functions, imperfect substitution of imports, and linear expenditure systems for consumer demand, with prices adjusting endogenously to establish market equilibrium. (2024-08)en
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationCastillo Rivera, J.M.; Piñeiro, V.; Escalante, L. (2024) RIAPA Model for Colombia using SAM matrix. https://doi.org/10.7910/DVN/DYHLCKen
dcterms.issued2024
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.subjectimpact assessmenten
dcterms.subjecteconomic activitiesen
dcterms.subjectagrifood sectoren
dcterms.typeDataset

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