Greener Journal of Economics and Accountancy

Excellence and Timeliness

Change Language

Newsletters


Advertisement


Nyoni et al

Greener Journal of Economics and Accountancy

Vol. 9(1), pp. 1-9, 2021

ISSN: 2354-2357

Copyright ©2021, the copyright of this article is retained by the author(s)

https://gjournals.org/GJEA

 

 

 

 

 

 

 

Modeling and Forecasting Botswana’s Growth Domestic Product (GDP) per Capita

 

 

Nyoni, Thabani1; Muchingami, Lovemore2; Olebogeng Mokgware3; Joe Jazi4; Georgina Mwantembe5

 

 

1Department of Economics, University of Zimbabwe. Email: nyonithabani35@ gmail. com

2Snr Lecturer Department of Banking & Finance, BA ISAGO University, lavmuch@ gmail. com

3Department of Risk Management, Insurance and Actuarial Science, BA ISAGO University. Email. Olebogang.mkgware@ baisago.ac. bw

4Department of Entrepreneurship, BA ISAGO University. Email.Joe.jazi@ baisago.ac. bw

5Business Management, BA ISAGO University. Email: georgina.mwantembe@ baisago. ac.bw

 

 

ARTICLE INFO

ABSTRACT

 

Article No.: 041819073

Type: Research

 

 

Gross Domestic Product (GDP) per capita is regarded as one of the key signals of economic performance which may also be a benchmark for comparing living standards for different citizens across borders. There may be growth in real GDP without any improvement in real GDP per capita. Having this and other exogenous factors in concern, this research paper employed the Box-Jenkins ARIMA Methodology to analyse GDP per capita in Botswana from 1960 to 2017. The ADF tests show that Botswana GDP per capita data is I (1). Based on the AIC, the study presents the ARIMA (3, 2, 3) model. The diagnostic tests further show that the presented model is not only stable but also suitable. Ceteris paribus, the results of the study indicate that living standards in Botswana may absolutely continue to improve over the next decade. Four (4) policy recommendations were deduced from this research which the Botswana economic policy makers may consider in an effort to promote and maintain the much needed better living standards for all Batswana.

 

Accepted:  26/04/2017

Published: 31/05/2021

 

*Corresponding Author

Muchingami, Lovemore

E-mail: lavmuch@ gmail.com

 

Keywords:

Botswana; Forecasting; GDP per capita

 

 

 

Return to Content       View [Full Article - PDF]  

[Full Article - HTML]              [Full Article - EPUB]


 

 

 

REFERENCES

 

1.        Adebayo, A. G (2016). Forecasting the Gross Domestic Product in Nigeria using time series analysis and a sample frame of 1960 – 2015, Journal of Business and African Economy, 2 (2): 1 – 14.

 

2.        Asteriou, D. & Hall, S. G. (2007). Applied Econometrics: a modern approach, Revised Edition, Palgrave MacMillan, New York.

 

3.        Barhoumi, K., Darne, O., Ferrara, L., & Pluyaud, B (2011). Monthly GDP forecasting using bridge models: application for the French economy, Bulletin of Economic Research, 1 – 18.

 

4.        Bipasha, M & Bani, C (2012). Forecasting GDP growth rates of India: an empirical study, International Journal of Economics and Management Sciences, 1 (9): 52 – 58.

 

5.        Dritsaki, C (2015). Forecasting real GDP rate through econometric models: an empirical study from Greece, Journal of International Business and Economics, 3 (1): 13 – 19.

 

6.        Du Preez, J. & Witt, S. F. (2003). Univariate and multivariate time series forecasting: An application to tourism demand, International Journal of Forecasting, 19: 435 – 451.

 

7.        Goh, C. & Law, R. (2002). Modeling and forecasting tourism demand for arrivals with stochastic non-stationary seasonality and intervention, Tourism Management, 23: 499 – 510.

 

8.        Honde, G. J & Abraha, F. G (2015). Botswana Economic Outlook – Botswana, AfDB.

 

9.        International Monetary Fund (2017). Botswana Staff Report for the 2017 Article IV consultation, IMF, Washington DC.

 

10.     Junoh, M. Z. H. J (2004). Predicting GDP growth in Malaysia using knowledge-based indicators: a comparison between Neural Network and econometric approaches, Sunway College Journal, 1: 39 – 50.

 

11.     Lu, Y (2009). Modeling and forecasting China’s GDP data with time series models, Department of Economics and Society, Hogskolan Dalarna.

 

12.     Maipose, G.S and Matsheka, T.C (2009). The Indigenous Development State and Growth in Botswana. Chapter 5. Volume 2: 01-66

 

 

13.     Nyoni, T & Bonga, W. G (2017f). An Empirical Analysis of the Determinants of Private Investment in Zimbabwe, DRJ – Journal of Economics and Finance, 2 (4): 38 – 54.

 

14.     Nyoni, T & Bonga, W. G (2018a). What Determines Economic Growth In Nigeria? DRJ – Journal of Business and Management, 1 (1): 37 – 47.

 

15.     Nyoni, T (2018n). Modeling and Forecasting Inflation in Kenya: Recent Insights from ARIMA and GARCH analysis, Dimorian Review, 5 (6): 16 – 40.

 

16.     Nyoni, T. (2018i). Box – Jenkins ARIMA Approach to Predicting net FDI inflows in Zimbabwe, Munich University Library – Munich Personal RePEc Archive (MPRA), Paper No. 87737.

 

17.     Okasha, M.K and Yaseen, A.A (2013). Comparison Between Arima Models And Artificial Neural Networks In Forecasting Al-Quds Indices Of Palestine Stock Exchange Market. Conference paper. Research Gate.

  

18.     Onuoha, D. O., Ibe, A., Njoku, C., & Onuoha, J. I (2015). Analysis of the Gross Domestic Product (GDP) of Nigeria: 1960 – 2012, West African Journal of Industrial & Academic Research, 14 (1): 81 – 90.

 

19.     Song, H., Witt, S. F. & Jensen, T. C. (2003b). Tourism forecasting: accuracy of alternative econometric models, International Journal of Forecasting, 19: 123 – 141.

 

20.     Wabomba, M. S., Mutwiri, M. P., & Mungai, F (2016). Modeling and forecasting Kenyan GDP using Autoregressive Integrated Moving Average (ARIMA) models, Science Publishing Group – Science Journal of Applied Mathematics and Statistics, 4 (2): 64 – 73.

 


 

 

Cite this Article: Nyoni, T; Muchingami, L; Olebogeng M; Joe J; Georgina M (2021). Modeling and Forecasting Botswana’s Growth Domestic Product (GDP) per Capita. Greener Journal of Economics and Accountancy, 9(1):1-9,

 


Call for Papers

Call for Scholarly Articles


Authors from around the world are invited to send scholary articles that suits the scope of this journal. The journal is currently open to submissions and will process and publish articles monthly in one yearly issue.


The journal is centered on quality and goes about its processes in a very timely fashion. Seasoned editors/reviewers will be consulted to review each article(s), profer quality evaluations and polish the articles with expertise before publication.


Simply send your article(s) as an e-mail attachment to manuscripts@gjournals.org or manuscripts.igj@gmail.com.


Ad.


Search

Login Form

Other Journals


Sponsored