| dc.creator | Adelheid Januaviani, Trisha Magdalena | |
| dc.creator | Eman Lesmana, Sukono, | |
| dc.date | 2020-04-28 | |
| dc.date.accessioned | 2022-11-05T02:34:36Z | |
| dc.date.available | 2022-11-05T02:34:36Z | |
| dc.identifier | https://produccioncientificaluz.org/index.php/opcion/article/view/31845 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/5141719 | |
| dc.description | The study aims to investigate the modeling of money supply using LASSO regression with cross-validation. The money supply spent can be applied to multiple regression analysis because it has many influencing factors. Multiple linear regression analysis is a statistical technique to examine the relationship between independent variables and independent variables. As a result, the number of independent variables in the money supply asked is greater than multicollinearity. In conclusion, if net foreign assets consisting of bills and non-residents liabilities in Indonesia have increased by one billion, then the money supply in circulation in Indonesia will decrease by 0.6259048 and 1.451317. | es-ES |
| dc.format | application/pdf | |
| dc.language | spa | |
| dc.publisher | Universidad del Zulia | es-ES |
| dc.relation | https://produccioncientificaluz.org/index.php/opcion/article/view/31845/33094 | |
| dc.rights | Derechos de autor 2020 Opción | es-ES |
| dc.source | Opción; Vol. 36 Núm. 91 (2020); 213-231 | es-ES |
| dc.source | 2477-9385 | |
| dc.source | 1012-1587 | |
| dc.subject | Money Supply | es-ES |
| dc.subject | LASSO | es-ES |
| dc.subject | LARS | es-ES |
| dc.subject | Cross-validation | es-ES |
| dc.title | Modeling of money supply using LASSO regression with Cross-Validation | es-ES |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:eu-repo/semantics/publishedVersion | |
| dc.type | Artículo revisado por pares | es-ES |
