PEMODELAN EKSPOR IMPOR PDRB PROVINSI RIAU TAHUN 2010 – 2019 MENGGUNAKAN VAR DAN VECM

dc.contributor.authorAyu, Winda
dc.contributor.supervisorBustami, Bustami
dc.date.accessioned2021-12-28T02:22:12Z
dc.date.available2021-12-28T02:22:12Z
dc.date.issued2021-06
dc.description.abstractThis research aims to model the corresponding relationships GRDP import and export variables using Vector Autoregressive (VAR) and Vector Error Correction Model (VECM). The data used is sourced from Riau publication data in figures from the Central Statistics Agency for Riau Province in 2010 – 2019. The data analysis in this study uses Rstudio 4.0.2 software. Based on the analysis conducted, it is found that the endogenous variables that most influence changes in exports are the import and GRDP variables in the previous period. The endogenous variables that most influence changes in imports are the export variables of the previous period, while those that most influence changes in GRDP are the import variables and the export variables in the previous period. The results showed that the best model for export, import and GRDP variables was the VECM model.en_US
dc.description.sponsorshipJurusan Matematika Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Riauen_US
dc.identifier.otherwahyu sari yeni
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/10365
dc.language.isoenen_US
dc.publisherperpustakaan URen_US
dc.subjectVector autoregressiveen_US
dc.subjectvector error correction modelsen_US
dc.subjectexporten_US
dc.subjectimporten_US
dc.subjectgross regional domestic producten_US
dc.titlePEMODELAN EKSPOR IMPOR PDRB PROVINSI RIAU TAHUN 2010 – 2019 MENGGUNAKAN VAR DAN VECMen_US
dc.typeArticleen_US

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