ARDL: An R Package for ARDL Models and Cointegration
Kleanthis Natsiopoulos () and
Nickolaos G. Tzeremes ()
Additional contact information
Kleanthis Natsiopoulos: University of Thessaly
Nickolaos G. Tzeremes: University of Thessaly
Computational Economics, 2024, vol. 64, issue 3, No 15, 1757-1773
Abstract:
Abstract This paper presents the ARDL package for the statistical language R, demonstrating its main functionalities in a step by step guide. Some of its main advantages over other related R packages are the intuitive API, and the fact that includes many important features missing from other packages that are essential for an in depth analysis. Additionally, it is designed in such a way that it can be combined with other packages for post regression diagnostics and tests. These characteristics are shown through an example, where we showcase part of the application demonstrated in the seminal work of Pesaran et al. (J Appl Econom 16:289–326, 2001).
Keywords: R; R package; ARDL; Bounds test; Cointegration (search for similar items in EconPapers)
JEL-codes: C22 C87 Y20 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10614-023-10487-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:kap:compec:v:64:y:2024:i:3:d:10.1007_s10614-023-10487-z
Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/10614/PS2
DOI: 10.1007/s10614-023-10487-z
Access Statistics for this article
Computational Economics is currently edited by Hans Amman
More articles in Computational Economics from Springer, Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().