IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v51y2019i50p5482-5489.html
   My bibliography  Save this article

Time series analysis of economic growth rate series in Nigeria: structural breaks, non-linearities and reasons behind the recent recession

Author

Listed:
  • Olushina Olawale Awe
  • Luis Alberiko Gil-Alana

Abstract

This article deals with the modelling of growth rate time series in Nigeria with a view of detecting its statistical properties, structural breaks and non-linearities. We employ both fractional integration and structural break time series techniques in modelling the annual growth rate series of the Nigerian GDP growth rate for about 55 years. The data span between 1960 and 2017. The results show that Nigerian growth rate is unstable with non-linearities and long-range dependence structures. We also investigate what might explain these features and conclude that erratic political institutions, associated with poor economic management and insecurity in Nigeria, among others, in the decades after independence are the root causes of non-linearities observed, which have also led to the subsequent recent economic recession in Nigeria.

Suggested Citation

  • Olushina Olawale Awe & Luis Alberiko Gil-Alana, 2019. "Time series analysis of economic growth rate series in Nigeria: structural breaks, non-linearities and reasons behind the recent recession," Applied Economics, Taylor & Francis Journals, vol. 51(50), pages 5482-5489, October.
    • Handle: RePEc:taf:applec:v:51:y:2019:i:50:p:5482-5489
    DOI: 10.1080/00036846.2019.1613513
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2019.1613513
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00036846.2019.1613513?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Joseph Ifeolu Falegan & Ebele Amali, 2023. "An Evaluation of the Optimal Inflation Target for Economic Growth in Nigeria," Journal of Social Science Studies, Macrothink Institute, vol. 10(1), pages 1-1, June.
    2. Paulo Canas Rodrigues & Olushina Olawale Awe & Jonatha Sousa Pimentel & Rahim Mahmoudvand, 2020. "Modelling the Behaviour of Currency Exchange Rates with Singular Spectrum Analysis and Artificial Neural Networks," Stats, MDPI, vol. 3(2), pages 1-21, June.
    3. Awe, Olushina Olawale & Musa, Ann Precious & Sanusi, Gbenga Peter, 2023. "Revisiting economic diversification in Africa's largest resource-rich nation: Empirical insights from unsupervised machine learning," Resources Policy, Elsevier, vol. 82(C).
    4. Awe, Olushina Olawale & Dias, Ronaldo, 2022. "Comparative Analysis of ARIMA and Artificial Neural Network Techniques for Forecasting Non-Stationary Agricultural Output Time Series," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 14(4), December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:applec:v:51:y:2019:i:50:p:5482-5489. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.