IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/91353.html

Is the United States of America (USA) really being made great again? witty insights from the Box-Jenkins ARIMA approach

Author

Listed:
  • NYONI, THABANI

Abstract

Using annual time series data on GDP per capita in the United States of America (USA) from 1960 to 2017, I model and forecast GDP per capita using the Box – Jenkins ARIMA technique. My diagnostic tests such as the ADF tests show that US GDP per capita data is I (2). Based on the AIC, the study presents the ARIMA (0, 2, 2) model. The diagnostic tests further indicate that the presented model is stable and hence reliable. The results of the study reveal that living standards in the US are likely to sky-rocket over the next decade, especially if the current economic policy stance is to be at least maintained. Indeed, America is being made great again!!!

Suggested Citation

  • Nyoni, Thabani, 2019. "Is the United States of America (USA) really being made great again? witty insights from the Box-Jenkins ARIMA approach," MPRA Paper 91353, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:91353
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/91353/1/MPRA_paper_91353.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Maximo Camacho & Jaime Martinez-Martin, 2014. "Real-time forecasting US GDP from small-scale factor models," Empirical Economics, Springer, vol. 47(1), pages 347-364, August.
    2. Guangling (Dave) Liu & Rangan Gupta & Eric Schaling, 2007. "Forecasting the South African Economy: A DSGE-VAR Approach," Working Papers 200724, University of Pretoria, Department of Economics.
    3. Guangling (dave Liu & Rangan Gupta, 2007. "A Small‐Scale Dsge Model For Forecasting The South African Economy," South African Journal of Economics, Economic Society of South Africa, vol. 75(2), pages 179-193, June.
    4. Nyoni, Thabani, 2018. "Box-Jenkins ARIMA approach to predicting net FDI inflows in Zimbabwe," MPRA Paper 87737, University Library of Munich, Germany.
    5. Rangan Gupta, 2007. "FORECASTING THE SOUTH AFRICAN ECONOMY WITH GIBBS SAMPLED BVECMs," South African Journal of Economics, Economic Society of South Africa, vol. 75(4), pages 631-643, December.
    6. Karim Barhoumi & Olivier Darné & Laurent Ferrara & Bertrand Pluyaud, 2012. "Monthly Gdp Forecasting Using Bridge Models: Application For The French Economy," Bulletin of Economic Research, Wiley Blackwell, vol. 64(Supplemen), pages 53-70, December.
    7. repec:rza:wpaper:51 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rangan Gupta & Sonali Das, 2010. "Predicting Downturns in the US Housing Market: A Bayesian Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 41(3), pages 294-319, October.
    2. Pop, Raluca-Elena, 2017. "A small-scale DSGE-VAR model for the Romanian economy," Economic Modelling, Elsevier, vol. 67(C), pages 1-9.
    3. Rangan Gupta & Sonali Das, 2008. "Spatial Bayesian Methods Of Forecasting House Prices In Six Metropolitan Areas Of South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 76(2), pages 298-313, June.
    4. Guangling 'Dave' Liu & Rangan Gupta & Eric Schaling, 2009. "A New-Keynesian DSGE model for forecasting the South African economy," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(5), pages 387-404.
    5. Annari De Waal & Rene頖an Eyden & Rangan Gupta, 2015. "Do we need a global VAR model to forecast inflation and output in South Africa?," Applied Economics, Taylor & Francis Journals, vol. 47(25), pages 2649-2670, May.
    6. Nyoni, Thabani, 2019. "Is South Africa the South Africa we all desire? Insights from the Box-Jenkins ARIMA approach," MPRA Paper 92441, University Library of Munich, Germany.
    7. Mirriam Chitalu Chama-Chiliba & Rangan Gupta & Nonophile Nkambule & Naomi Tlotlego, 2011. "Forecasting Key Macroeconomic Variables of the South African Economy Using Bayesian Variable Selection," Working Papers 201132, University of Pretoria, Department of Economics.
    8. Felicitas NOWAK-LEHMANN D. & Inma MARTÍNEZ-ZARZOSO & Dierk HERZER & Stephan KLASEN & Axel DREHER, 2010. "Foreign Aid and Its Effect on Per-Capita Income (Growth) in Recipient Countries: Pitfalls and Findings from a Time Series Perspective," EcoMod2010 259600121, EcoMod.
    9. Claudia Foroni & Massimiliano Marcellino, 2013. "A survey of econometric methods for mixed-frequency data," Economics Working Papers ECO2013/02, European University Institute.
    10. Nyoni, Thabani & Mutongi, Chipo, 2019. "Modeling and forecasting carbon dioxide emissions in China using Autoregressive Integrated Moving Average (ARIMA) models," MPRA Paper 93984, University Library of Munich, Germany.
    11. Diana Escandon-Barbosa & David Urbano-Pulido & Andrea Hurtado-Ayala, 2019. "Exploring the Relationship between Formal and Informal Institutions, Social Capital, and Entrepreneurial Activity in Developing and Developed Countries," Sustainability, MDPI, vol. 11(2), pages 1-20, January.
    12. Nyoni, Thabani, 2019. "Predicting CPI in France," MPRA Paper 92416, University Library of Munich, Germany.
    13. Nyoni, Thabani, 2019. "Forecasting the population of Brazil using the Box-Jenkins ARIMA approach," MPRA Paper 92437, University Library of Munich, Germany.
    14. Rangan Gupta & Rudi Steinbach, 2010. "Forecasting Key Macroeconomic Variables of the South African Economy: A Small Open Economy New Keynesian DSGE-VAR Model," Working Papers 201019, University of Pretoria, Department of Economics.
    15. Gregor Bäurle & Elizabeth Steiner & Gabriel Züllig, 2021. "Forecasting the production side of GDP," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(3), pages 458-480, April.
    16. Marcos Dal Bianco & Jaime Martinez-Martín & Maximo Camacho, 2013. "Short-Run Forecasting of Argentine GDP Growth," Working Papers 1314, BBVA Bank, Economic Research Department.
    17. Duncan, Roberto & Martínez-García, Enrique, 2019. "New perspectives on forecasting inflation in emerging market economies: An empirical assessment," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1008-1031.
    18. Nyoni, Thabani, 2019. "Will the United States of America (USA) be a beneficiary of the Alburg (1998) and Becker et al (1999) prophecies? Recent insights from the Box-Jenkins ARIMA approach," MPRA Paper 92459, University Library of Munich, Germany.
    19. Katja Heinisch & Rolf Scheufele, 2018. "Bottom-up or direct? Forecasting German GDP in a data-rich environment," Empirical Economics, Springer, vol. 54(2), pages 705-745, March.
    20. Nyoni, Thabani, 2019. "Modeling and forecasting CPI in Iran: A univariate analysis," MPRA Paper 92454, University Library of Munich, Germany.

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:91353. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.