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Forecasting using a random coefficient autoregression

delete2025-09-01
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P
Philip Hans Franses *
D
Dmitriy Knyazhitskiy
DOI:10.1007/s00181-025-02824-ydelete
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Abstract

Abstract

En 中文
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
C22
C53
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

E
Empirical Economics
IF:
1.9
Papers:
128
Citations:
5.4K

Organization

E
erasmus university rotterdam - excl erasmus mc
Scholars:
5.5K
Papers: 5.7K
Citations: 6
Cited Papers

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