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

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

Authors

Keywords:

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

Abstract

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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Published

2023-11-15

How to Cite

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

Issue

Vol. 4 No. 2 (2023): Jul-Dec 2023

Section

Articles
Copyright & Licensing

Copyright (c) 2023 Michael Musyoki, David Alilah, David Angwenyi

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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