Application of the Vector Autoregressive Model Incorporating New Measurements Using the Bayesian Approach

https://doi.org/10.51867/ajernet.4.2.107

Autores

Palavras-chave:

Bayesian Approach, Measurements, Root Mean Square Error, Vector Autoregressive

Resumo

In this paper, an application of the updated vector autoregresive model incorporating new information or measurements is considered. We consider secondary data obtained from the Kenya National Bureau of statistics, Statistical Abstract reports from 2000-2021 which is on monetary value marketed at current prices from crops, horticulture, livestock and related products, fisheries and forestry. A VAR(1) model is fitted to the data and then the model updated to incorporate the measurements. From the results, it is found that the updated model performs well on the simulated data based on the values of the root mean square error obtained.

Dimensions

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Publicado

2023-11-15

Como Citar

Musyoki, M., Alilah, D., & Angwenyi, D. (2023). Application of the Vector Autoregressive Model Incorporating New Measurements Using the Bayesian Approach. African Journal of Empirical Research, 4(2), 1054–1062. https://doi.org/10.51867/ajernet.4.2.107

Edição

Vol. 4 N.º 2 (2023): Jul-Dec 2023

Secção

Articles
Copyright & Licensing

Direitos de Autor (c) 2023 Michael Musyoki, David Alilah, David Angwenyi

Creative Commons License

Este trabalho encontra-se publicado com a Creative Commons Atribuição-NãoComercial 4.0.

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