Modeling Nigerian Government Revenues and Total Expenditure: Combined Estimators’ Analysis and Error Correction Model Approach

Kayode Ayinde (), Aliyu A. Bello (), Opeyemi E. Ayinde () and Damilola. B. Adekanmbi ()
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Kayode Ayinde: Ladoke Akintola University of Technology
Aliyu A. Bello: Ladoke Akintola University of Technology
Opeyemi E. Ayinde: University of Ilorin
Damilola. B. Adekanmbi: Ladoke Akintola University of Technology

Central European Journal of Economic Modelling and Econometrics, 2015, vol. 7, issue 1, 1-14

Abstract: The national total expenditure of a country is precipitated on several factors of which revenue generated could be one and very significant. This paper therefore examines the contribution of some selected sources of Nigerian government revenue to total national expenditure. Statistical and econometric techniques used for the data analysis are unit root test, cointegration test, combined estimators’ analysis, the error correction model (ECM) and the feasible generalized linear (FGLS) estimators. Results showed that the variables are non stationary but are stationary at first difference. The long-run relationship of total expenditure on oil revenue, non-oil revenue, federation account and federal retained revenue revealed that the variables are cointegrated and required the use of combined estimators. The effect of nonoil revenue and federal retained revenue is very significant. Investigations on the short-run modeling necessitated the use of FGLS estimators. The effect of ECM and federal retained revenue is very significant. Consequently, other sources of revenue apart from federal retained revenue need to be enhanced and tailored towards improving economic growth and development through national expenditure.

Keywords: unit root test; cointegration test; combined estimators; error correction model; feasible generalized linear estimators (search for similar items in EconPapers)
JEL-codes: C22 (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (1)

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