Linear models with time-varying parameters: a comparison of different approaches-Reference-Cited by-同舟云学术

Linear models with time-varying parameters: a comparison of different approaches

Published:2024-01-30 Issue: Volume: Page:
ISSN:0943-4062
Container-title:Computational Statistics
language:en
Short-container-title:Comput Stat

Author:

Lucchetti Riccardo “Jack”,Valentini Francesco^ORCID

Abstract

AbstractEstimation of linear models with time-varying parameters can be accomplished in a variety of ways, each making different assumptions, with varying degrees of accuracy and computational complexity. In this paper, we compare different packages by means of simulated and real data focusing on both statistical and computational aspects. Our findings show that all the estimators provide similar results under ideal conditions, but the practitioner’s choice could be far from obvious.

Funder

Università Politecnica delle Marche

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00180-023-01452-3.pdf

Reference29 articles.

1. Athans M (1974) The importance of Kalman filtering methods for economic systems. In: Annals of economic and social measurement, vol 3, no 1. NBER, pp 49–64

2. Bai J, Perron P (2003) Critical values for multiple structural change tests. Econ J 6(1):72–78

3. Bjørnland HC, Thorsrud LA (2019) Commodity prices and fiscal policy design: procyclical despite a rule. J Appl Econ 34(2):161–180

4. Byrd RH, Lu P, Nocedal J, Zhu C (1995) A limited memory algorithm for bound constrained optimization. SIAM J Sci Comput 16(5):1190–1208

5. Cai Z (2007) Trending time-varying coefficient time series models with serially correlated errors. J Econ 136(1):163–188

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