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Ahamuefula E Ogbonna

Biographic Data

ID9522668
NAMEAhamuefula E Ogbonna
GIVEN NAMESAhamuefula E
FAMILY NAMEOgbonna
SIGNATUREOGBONNA A E
AFFILIATIONSUniversity of Ibadan
ORCID0000-0002-9127-5231
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2024
H-INDEX0
  • A new fractional integration approach based on neural network nonlinearity with an application to testing unemployment hysteresis

    Open Access•Fumitaka Furuoka, Luis A Gil-Alana et al.•ARTICLE•Empirical Economics•2024

    This paper proposes a nonlinear fractional unit root approach which is known as the autoregressive neural network–fractional integration (ARNN–FI) test. This new fractional integration test is based on a new multilayer perceptron of a neural network process, proposed in Yaya et al. (Oxf Bull Econ Stat 83(4):960–981, 2021). The asymptotic theory and the properties of the proposed test are given. By setting up a Monte Carlo simulation experiment, t…

  • Information and Communication Technology (ICT) and youth unemployment in Africa

    Open Access•Ahamuefula E Ogbonna, Idris A Adediran et al.•ARTICLE•Quality & Quantity•2023

  • Unemployment hysteresis in Middle East and North Africa countries

    Oladapo Gbenga Awolaja, Olaoluwa S Yaya et al.•ARTICLE•Middle East Development Journal•2021

    Unemployment hysteresis of Middle East and North African (MENA) countries is investigated under a battery of unit root testing frameworks in the extant literature, including a recently proposed Panel SUR Dickey-Fuller-like unit root test with Fourier and Exponential Smooth Transition Regression (ESTR) nonlinearities. The Fourier function allows for smooth nonlinear breaks, while the ESTR nonlinearity allows for instantaneous breaks. The two nonli…

  • A New Unit Root Test for Unemployment Hysteresis Based on the Autoregressive Neural Network

    Open Access•Olaoluwa S Yaya, Ahamuefula E Ogbonna et al.•ARTICLE•Oxford Bulletin of Economics and…•2021

    This paper proposes a nonlinear unit root test based on the autoregressive neural network process for testing unemployment hysteresis. In this new unit root testing framework, the linear, quadratic and cubic components of the neural network process are used to capture the nonlinearity in a given time series data. The theoretical properties of the test are developed, while the size and the power properties are examined in a Monte Carlo simulation …

No prominent works on this page.

  • Unemployment hysteresis in Middle East and North Africa countries

    Oladapo Gbenga Awolaja, Olaoluwa S Yaya et al.•ARTICLE•Middle East Development Journal•2021

    Unemployment hysteresis of Middle East and North African (MENA) countries is investigated under a battery of unit root testing frameworks in the extant literature, including a recently proposed Panel SUR Dickey-Fuller-like unit root test with Fourier and Exponential Smooth Transition Regression (ESTR) nonlinearities. The Fourier function allows for smooth nonlinear breaks, while the ESTR nonlinearity allows for instantaneous breaks. The two nonli…

  • A New Unit Root Test for Unemployment Hysteresis Based on the Autoregressive Neural Network

    Open Access•Olaoluwa S Yaya, Ahamuefula E Ogbonna et al.•ARTICLE•Oxford Bulletin of Economics and…•2021

    This paper proposes a nonlinear unit root test based on the autoregressive neural network process for testing unemployment hysteresis. In this new unit root testing framework, the linear, quadratic and cubic components of the neural network process are used to capture the nonlinearity in a given time series data. The theoretical properties of the test are developed, while the size and the power properties are examined in a Monte Carlo simulation …

  • Information and Communication Technology (ICT) and youth unemployment in Africa

    Open Access•Ahamuefula E Ogbonna, Idris A Adediran et al.•ARTICLE•Quality & Quantity•2023

  • A new fractional integration approach based on neural network nonlinearity with an application to testing unemployment hysteresis

    Open Access•Fumitaka Furuoka, Luis A Gil-Alana et al.•ARTICLE•Empirical Economics•2024

    This paper proposes a nonlinear fractional unit root approach which is known as the autoregressive neural network–fractional integration (ARNN–FI) test. This new fractional integration test is based on a new multilayer perceptron of a neural network process, proposed in Yaya et al. (Oxf Bull Econ Stat 83(4):960–981, 2021). The asymptotic theory and the properties of the proposed test are given. By setting up a Monte Carlo simulation experiment, t…

Economics (4 works) · Econometrics (3 works) · Hysteresis (3 works) · Macroeconomics (3 works) · Monetary Policy and Economic Impact (3 works) · Nonlinear system (3 works) · Unemployment (3 works) · Unit root (3 works) · Unit root test (3 works) · Artificial Intelligence (2 works)

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