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Hokstad, P. (1983). A method for diagnostic checking of time series models. J. Time Ser. Anal. 4(3), 177-183.

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Article

A Time Series Analysis of Federal Budgetary Allocations to Education Sector in Nigeria (1970-2018)

1Department of Statistics, University of Nigeria, Nsukka

2Department of Mathematics, Computer Science, Statistics and Informatics, Alex Ekwueme Federal University Ndufu-Alike Ikwo


American Journal of Applied Mathematics and Statistics. 2020, Vol. 8 No. 1, 1-8
DOI: 10.12691/ajams-8-1-1
Copyright © 2020 Science and Education Publishing

Cite this paper:
N. M. Eze, O. C. Asogwa, A. O. Obetta, K. C. Ojide, C. I. Okonkwo. A Time Series Analysis of Federal Budgetary Allocations to Education Sector in Nigeria (1970-2018). American Journal of Applied Mathematics and Statistics. 2020; 8(1):1-8. doi: 10.12691/ajams-8-1-1.

Correspondence to: N.  M. Eze, Department of Statistics, University of Nigeria, Nsukka. Email: nnaemeka.eze@unn.edu.ng

Abstract

This work is carried out to statistically analyze federal budgetary allocations to the education sector in Nigeria (1970-2018). Time series analysis is used to analyse the data using the Box and Jenkins modeling approach. This involved identification of model, estimation of parameters, diagnostic checking of the model and forecasting. ARIMA (1, 1, 1) was identified in the course of identification of the model. ARIMA (1, 1, 0) was selected as a parsimonious model using the Bayesian Information Criterion (BIC). Also, the diagnostic check was carried out and it was found that the model is adequate. Forecasts are equally made for the year 2019, 2020, 2021 and 2022 using the model obtained. It was observed that there is an upward trend from 2019-2022 forecasts, hence using the model will bring about increment in the future budgets.

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