dLagM: An R package for distributed lag models and ARDL bounds testing.
In this article, we introduce the R package dLagM for the implementation of distributed lag models and autoregressive distributed lag (ARDL) bounds testing to explore the short and long-run relationships between dependent and independent time series. Distributed lag models constitute a large class o...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2020-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0228812 |
| _version_ | 1818736120591024128 |
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| author | Haydar Demirhan |
| author_facet | Haydar Demirhan |
| author_sort | Haydar Demirhan |
| collection | DOAJ |
| description | In this article, we introduce the R package dLagM for the implementation of distributed lag models and autoregressive distributed lag (ARDL) bounds testing to explore the short and long-run relationships between dependent and independent time series. Distributed lag models constitute a large class of time series regression models including the ARDL models used for cointegration analysis. The dLagM package provides a user-friendly and flexible environment for the implementation of the finite linear, polynomial, Koyck, and ARDL models and ARDL bounds cointegration test. Particularly, in this article, a new search algorithm to specify the orders of ARDL bounds testing is proposed and implemented by the dLagM package. Main features and input/output structures of the dLagM package and use of the proposed algorithm are illustrated over the datasets included in the package. Features of dLagM package are benchmarked with some mainstream software used to implement distributed lag models and ARDLs. |
| first_indexed | 2024-12-18T00:32:06Z |
| format | Article |
| id | doaj.art-c2953432f24e46c9929e9b9a63c44c85 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-18T00:32:06Z |
| publishDate | 2020-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-c2953432f24e46c9929e9b9a63c44c852022-12-21T21:27:06ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-01152e022881210.1371/journal.pone.0228812dLagM: An R package for distributed lag models and ARDL bounds testing.Haydar DemirhanIn this article, we introduce the R package dLagM for the implementation of distributed lag models and autoregressive distributed lag (ARDL) bounds testing to explore the short and long-run relationships between dependent and independent time series. Distributed lag models constitute a large class of time series regression models including the ARDL models used for cointegration analysis. The dLagM package provides a user-friendly and flexible environment for the implementation of the finite linear, polynomial, Koyck, and ARDL models and ARDL bounds cointegration test. Particularly, in this article, a new search algorithm to specify the orders of ARDL bounds testing is proposed and implemented by the dLagM package. Main features and input/output structures of the dLagM package and use of the proposed algorithm are illustrated over the datasets included in the package. Features of dLagM package are benchmarked with some mainstream software used to implement distributed lag models and ARDLs.https://doi.org/10.1371/journal.pone.0228812 |
| spellingShingle | Haydar Demirhan dLagM: An R package for distributed lag models and ARDL bounds testing. PLoS ONE |
| title | dLagM: An R package for distributed lag models and ARDL bounds testing. |
| title_full | dLagM: An R package for distributed lag models and ARDL bounds testing. |
| title_fullStr | dLagM: An R package for distributed lag models and ARDL bounds testing. |
| title_full_unstemmed | dLagM: An R package for distributed lag models and ARDL bounds testing. |
| title_short | dLagM: An R package for distributed lag models and ARDL bounds testing. |
| title_sort | dlagm an r package for distributed lag models and ardl bounds testing |
| url | https://doi.org/10.1371/journal.pone.0228812 |
| work_keys_str_mv | AT haydardemirhan dlagmanrpackagefordistributedlagmodelsandardlboundstesting |