Dynamics of Inflation, Interest and Exchange Rates with the Effects of Money Supply and GDP in Nigeria: Evidence from BVARX Models

Adenomon, Monday Osagie; Oduwole, H. K.

doi:10.9734/ajpas/2022/v20i3431

Cited by 5 publications

(7 citation statements)

References 10 publications

(14 reference statements)

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“…The study variables include Solid Waste Generation (SW) measured in tons, representing the total amount of waste generated within a specific year; rainfall measured in millimeters of precipitation annually across the selected regions in Nigeria; and temperature which is measured in degrees Celsius. The dynamics among these variables are analyzed using a Vector Error Correction Model (VECM), which extends the framework of a vector autoregressive (VAR) model by integrating an error correction term into each equation (Adenomon, et al, 2017). The inclusion of the error correction term in each equation of the VAR accounts for the disequilibrium between variables in the short run, allowing for the analysis of the adjustments that occur in response to any deviations from the long-run equilibrium.…”

Section: Methodsmentioning

confidence: 99%

The dynamics of some climate variables on solid waste in Nigeria using Vector Error Correction Model

Shehu,

Adenomon,

Abubakar

2024

SWJ

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This study investigated the long- run and short-run relationships between solid waste generation in Nigeria and two key climate variables: rainfall and temperature. Employing a Vector Error Correction Model (VECM) analysis on data from 1982 to 2022, then revealed counterintuitive findings. In the long run, lagged rainfall exhibits a negative association with solid waste (p < 0.05), potentially explained by increased waste decomposition in wetter conditions. Conversely, lagged temperature showed a positive association (p < 0.05), aligning with theories of increased consumption and economic activity in warmer periods. The short-run analysis unveils a self-correcting mechanism in solid waste generation and a statistically significant negative impact of lagged temperature (p < 0.05), requiring further investigation. Based on these findings, the study proposed policy implications for waste management strategies and data collection, emphasizing the need for sustainable solutions in the context of climate change.

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Section: Methodsmentioning

confidence: 99%

The dynamics of some climate variables on solid waste in Nigeria using Vector Error Correction Model

Shehu,

Adenomon,

Abubakar

2024

SWJ

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“…Adenomon and Oduwole [20] examined the dynamic interrelationships among inflation, interest and exchange rates with the effects of money supply and GDP in Nigeria using Bayesian Vector Autoregression with Exogenous variables (BVARX) models. The study used data spanning the period of 2010Q1-2020Q4.…”

Section: Adenomon and Telamentioning

confidence: 99%

Modelling Short-run Dynamics of Macroeconomic Variables on GDP in Ecowas Countries Using Panel Vector Autoregression Model

Ajao

Adenomon

2023

AJPAS

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This study implemented Panel Vector Autoregression (PVAR) Model to examine short-run dynamic relationships between inflation rate, population and unemployment rate as function of Gross Domestic Product (GDP) for Economic Community of West Africa States (ECOWAS) counties. To achieve this, secondary data was sourced for Population, Inflation rate, Unemployment rate and GDP from National Bureau of Statistics, Nigeria and ECOWAS office Nigeria covering from 1991 to 2020. The study implemented PVAR (1) and PVAR (2) models but only PVAR (2) model fulfilled the stability condition. Results from the analysis PVAR (2) model for GDP shows that GDP, population, inflation rate and unemployment rate at lag 1 are all positively related to GDP but only GDP and population at lag 1 are significant (P<0.05). While at lag 2 for GDP model, inflation rate and unemployment rate are negatively related to GDP though only GDP and population were significant (P<0.05). This study therefore concluded and recommended that in the short run, previous GDP and population data are significant in determining current GDP in ECOWAS countries.

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“…The place of education in national transformation has been studied over the years (Mpofu, 2013;Turkkahraman, 2012;Kayani et al, 2017). Furthermore, the roles of industries and agriculture in national development have also been the subject of intense study (Diao et al, 2010;Agarwal & Agarwal, 2017;Adenomon & Oyejola, 2013). However, much attention has not been paid to the impact of education on the growth of industry and agriculture.…”

Section: Introductionmentioning

confidence: 99%

Functional Education as a Nexus between Agricultural and Industrial Revolution: An Epidemiological Modeling Approach

Ayoade

Thota

2023

Uniciencia

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Education has been regarded as a major route to economic prosperity. Its potentials, if properly exploited, have the tendency to revolutionize a nation’s productivity, income, and development. [Objetive] In this work, a mathematical model was formulated, and an epidemiological modeling approach was explored to derive the necessary and sufficient conditions for agricultural and industrial transformation in Nigeria in terms of education. The use of mathematics to quantify such a phenomenon is relatively new. [Methodology] Ample mathematics theorems were employed to test for the existence, boundedness, and positivity of the model’s solutions which are basic features of a valid epidemiological model. The model was solved to derive the equilibrium points, and the analytic threshold that governed revolution in industry and agriculture in terms of education was derived. Stability and sensitivity analyses were conducted via the stability theory of nonlinear differential equations and normalized forward sensitivity index, respectively. Simulations were later conducted using the Maple software to validate the analytical results. [Results] A government expenditure of 25% on education with or without corruption did not make education functional. Also, an increase in expenditure on education to 65% but with corruption of more than 30% retarded functional education. In general, education became functional when government investment in education attained 60%, with corruption levels lower than 20%. [Conclusions] Both the analytical and numerical results linked agricultural transformation and industrial revolution through functional education to massive investment in education and victory over corruption.

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Dynamics of Inflation, Interest and Exchange Rates with the Effects of Money Supply and GDP in Nigeria: Evidence from BVARX Models

Cited by 5 publications

References 10 publications

The dynamics of some climate variables on solid waste in Nigeria using Vector Error Correction Model

The dynamics of some climate variables on solid waste in Nigeria using Vector Error Correction Model

Modelling Short-run Dynamics of Macroeconomic Variables on GDP in Ecowas Countries Using Panel Vector Autoregression Model

Functional Education as a Nexus between Agricultural and Industrial Revolution: An Epidemiological Modeling Approach

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