IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/32079.html
   My bibliography  Save this paper

Determinants of Public Debt for middle income and high income group countries using Panel Data regression

Author

Listed:
  • Sinha, Pankaj
  • Arora, Varun
  • Bansal, Vishakha

Abstract

To be able to predict when a nation will go bust has been one of toughest challenges in macroeconomics. Considerable research and effort has been put into this direction but still we are not in a position to say anything with certainty. This paper analyzes panel pool data on 31 countries across the world for the past 30 years on the basis of which the possibility of a sovereign default can be explored. The aim of this study is to understand which all factors influence the public debt in middle and high income group countries using Panel regression. Total effects model, Cross section fixed effects model, Cross section random effects model have been used to understand the factors whereas Autoregressive multiple regression model has been used to forecast the debt figures. The research findings suggest that the most important determinant of debt situation is GDP growth rate for both high and middle income group countries. In addition to this, Central government expenditure, education expenditure and Current account balance are also seen to influence the debt situation for both groups. FDI and Inflation have no impact on debt to GDP ratios among high income group countries but are found to be of more relevance when determining debt situation of middle income group countries. Population density and population above 65 years of age do not have any impact whatsoever on debt to GDP ratios of high and middle income group countries. Forecasts for weighted average public debt for high income group countries indicate steady increase. Debt situation of countries including Switzerland, Korea, Slovak rep, France and Japan is likely to worsen over the next 5 years. The debt situation of Greece and Spain is unlikely to change much whereas Ireland, USA, Canada, Italy, Hungary are expected to get better till 2015.

Suggested Citation

  • Sinha, Pankaj & Arora, Varun & Bansal, Vishakha, 2011. "Determinants of Public Debt for middle income and high income group countries using Panel Data regression," MPRA Paper 32079, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:32079
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/32079/1/MPRA_paper_32079.pdf
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    as
    1. Rembert De Blander & Geert Dhaene, 2012. "Unit root tests for panel data with AR(1) errors and small T," Econometrics Journal, Royal Economic Society, vol. 15(1), pages 101-124, February.
    2. Jushan Bai & Serena Ng, 2004. "A PANIC Attack on Unit Roots and Cointegration," Econometrica, Econometric Society, vol. 72(4), pages 1127-1177, July.
    3. Christian Broda & David E. Weinstein, 2004. "Happy News from the Dismal Science: Reassessing the Japanese Fiscal Policy and Sustainability," NBER Working Papers 10988, National Bureau of Economic Research, Inc.
    4. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Lukmanova, Elizaveta & Tondl, Gabriele, 2016. "Macroeconomic Imbalances and Business Cycle Synchronization. Why Common Economic Governance is Imperative for the Eurozone," Department of Economics Working Paper Series 5087, WU Vienna University of Economics and Business.
    2. Tomislav GLOBAN & Marina MATOŠEC, 2016. "Public Debt-to-GDP Ratio in New EU Member States: Cut the Numerator or Increase the Denominator?," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 57-72, September.
    3. Ilhèm Gargouri & Majdi Ksantini, 2016. "The Determinants Of Public Debt," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 18(59), pages 111-124, March.
    4. Elizaveta Lukmanova & Gabriele Tondl, 2016. "Macroeconomic Imbalances and Business Cycle Synchronization. Why Common Economic Governance is Imperative for the Eurozone," Department of Economics Working Papers wuwp229, Vienna University of Economics and Business, Department of Economics.

    More about this item

    Keywords

    Public debt; panel data; debt forecasting; Cross section fixed effects; cross section random effects;

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • F3 - International Economics - - International Finance
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • H6 - Public Economics - - National Budget, Deficit, and Debt

    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:32079. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.