Forecasting using a random coefficient autoregression
Philip Hans Franses () and
Dmitriy Knyazhitskiy
Additional contact information
Philip Hans Franses: Econometric Institute, Erasmus School of Economics
Dmitriy Knyazhitskiy: Econometric Institute, Erasmus School of Economics
Empirical Economics, 2025, vol. 69, issue 6, No 1, 3017 pages
Abstract:
Abstract We consider point forecasts for economic time series using a basic random coefficient autoregression. We show using simulations that these point forecasts do not improve much on the point forecasts from fixed coefficient autoregressive models. Various empirical illustrations emphasize the simulations-based evidence.
Keywords: Autoregression; Random coefficient autoregression; Out-of-sample forecast; Accuracy (search for similar items in EconPapers)
JEL-codes: C22 C53 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s00181-025-02824-y 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:spr:empeco:v:69:y:2025:i:6:d:10.1007_s00181-025-02824-y
Ordering information: This journal article can be ordered from
http://www.springer. ... rics/journal/181/PS2
DOI: 10.1007/s00181-025-02824-y
Access Statistics for this article
Empirical Economics is currently edited by Robert M. Kunst, Arthur H.O. van Soest, Bertrand Candelon, Subal C. Kumbhakar and Joakim Westerlund
More articles in Empirical Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().