IDEAS home Printed from https://ideas.repec.org/p/ces/ceswps/_5434.html
   My bibliography  Save this paper

Is there a Debt-Threshold Effect on Output Growth?

Author

Listed:
  • Alexander Chudik
  • Kamiar Mohaddes
  • M. Hashem Pesaran
  • Mehdi Raissi

Abstract

This paper studies the long-run impact of public debt expansion on economic growth and investigates whether the debt-growth relation varies with the level of indebtedness. Our contribution is both theoretical and empirical. On the theoretical side, we develop tests for threshold effects in the context of dynamic heterogeneous panel data models with cross-sectionally dependent errors and illustrate, by means of Monte Carlo experiments, that they perform well in small samples. On the empirical side, using data on a sample of 40 countries (grouped into advanced and developing) over the 1965-2010 period, we find no evidence for a universally applicable threshold effect in the relationship between public debt and economic growth, once we account for the impact of global factors and their spillover effects. Regardless of the threshold, however, we find significant negative long-run effects of public debt build-up on output growth. Provided that public debt is on a downward trajectory, a country with a high level of debt can grow just as fast as its peers.

Suggested Citation

  • Alexander Chudik & Kamiar Mohaddes & M. Hashem Pesaran & Mehdi Raissi, 2015. "Is there a Debt-Threshold Effect on Output Growth?," CESifo Working Paper Series 5434, CESifo.
  • Handle: RePEc:ces:ceswps:_5434
    as

    Download full text from publisher

    File URL: https://www.cesifo.org/DocDL/cesifo1_wp5434.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Hansen, Bruce E, 1996. "Inference When a Nuisance Parameter Is Not Identified under the Null Hypothesis," Econometrica, Econometric Society, vol. 64(2), pages 413-430, March.
    2. Alexander Chudik & Kamiar Mohaddes & M. Hashem Pesaran & Mehdi Raissi, 2016. "Long-Run Effects in Large Heterogeneous Panel Data Models with Cross-Sectionally Correlated Errors," Advances in Econometrics, in: Gloria GonzÁlez-Rivera & R. Carter Hill & Tae-Hwy Lee (ed.), Essays in Honor of Aman Ullah, volume 36, pages 85-135, Emerald Publishing Ltd.
    3. Pesaran, M Hashem, 1997. "The Role of Economic Theory in Modelling the Long Run," Economic Journal, Royal Economic Society, vol. 107(440), pages 178-191, January.
    4. Atish R. Ghosh & Jun I. Kim & Enrique G. Mendoza & Jonathan D. Ostry & Mahvash S. Qureshi, 2013. "Fiscal Fatigue, Fiscal Space and Debt Sustainability in Advanced Economies," Economic Journal, Royal Economic Society, vol. 0, pages 4-30, February.
    5. Carmen M. Reinhart & Kenneth S. Rogoff, 2010. "Growth in a Time of Debt," American Economic Review, American Economic Association, vol. 100(2), pages 573-578, May.
    6. Andrews, Donald W K & Ploberger, Werner, 1994. "Optimal Tests When a Nuisance Parameter Is Present Only under the Alternative," Econometrica, Econometric Society, vol. 62(6), pages 1383-1414, November.
    7. Eberhardt, Markus & Presbitero, Andrea F., 2015. "Public debt and growth: Heterogeneity and non-linearity," Journal of International Economics, Elsevier, vol. 97(1), pages 45-58.
    8. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    9. Moon, Hyungsik Roger & Weidner, Martin, 2017. "Dynamic Linear Panel Regression Models With Interactive Fixed Effects," Econometric Theory, Cambridge University Press, vol. 33(1), pages 158-195, February.
    10. Carmen M. Reinhart & Vincent R. Reinhart & Kenneth S. Rogoff, 2012. "Public Debt Overhangs: Advanced-Economy Episodes since 1800," Journal of Economic Perspectives, American Economic Association, vol. 26(3), pages 69-86, Summer.
    11. Checherita-Westphal, Cristina & Rother, Philipp, 2012. "The impact of high government debt on economic growth and its channels: An empirical investigation for the euro area," European Economic Review, Elsevier, vol. 56(7), pages 1392-1405.
    12. M. Hashem Pesaran, 0. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 0, pages 1-38.
    13. Alexander Chudik & Kamiar Mohaddes & M. Hashem Pesaran & Mehdi Raissi, 2013. "Debt, inflation and growth robust estimation of long-run effects in dynamic panel data models," Globalization Institute Working Papers 162, Federal Reserve Bank of Dallas, revised 01 Nov 2013.
    14. Krugman, Paul, 1988. "Financing vs. forgiving a debt overhang," Journal of Development Economics, Elsevier, vol. 29(3), pages 253-268, November.
    15. Carmen M. Reinhart & Kenneth S. Rogoff, 2011. "From Financial Crash to Debt Crisis," American Economic Review, American Economic Association, vol. 101(5), pages 1676-1706, August.
    16. Jushan Bai, 2009. "Panel Data Models With Interactive Fixed Effects," Econometrica, Econometric Society, vol. 77(4), pages 1229-1279, July.
    17. Ugo Panizza & Andrea F. Presbitero, 2013. "Public Debt and Economic Growth in Advanced Economies: A Survey," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 149(II), pages 175-204, June.
    18. M. Hashem Pesaran, 2015. "Testing Weak Cross-Sectional Dependence in Large Panels," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 1089-1117, December.
    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. Claudio Borio & Marco Jacopo Lombardi & Fabrizio Zampolli, 2016. "Fiscal sustainability and the financial cycle," BIS Working Papers 552, Bank for International Settlements.
    2. Minniti, Antonio & Venturini, Francesco, 2017. "The long-run growth effects of R&D policy," Research Policy, Elsevier, vol. 46(1), pages 316-326.
    3. Vito Tanzi, 2016. "Pleasant Dreams or Nightmares in Public Debt Scenarios?," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 16(1), pages 40-43, June.
    4. Lateef Olawale Akanni, 2020. "Climatic Variations and Spatial Price Differentials of Perishable Foods in Nigeria," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 5(1), pages 1-15, June.
    5. Vighneswara Swamy & Dharani M, 2020. "The tipping point of financial development? – evidence from OECD countries," International Economics and Economic Policy, Springer, vol. 17(1), pages 125-165, February.

    More about this item

    Keywords

    panel tests of threshold effects; long-run relationships; estimation and inference; large dynamic heterogeneous panels; cross-section dependence; debt; and inflation;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy
    • F34 - International Economics - - International Finance - - - International Lending and Debt Problems
    • H60 - Public Economics - - National Budget, Deficit, and Debt - - - General

    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:ces:ceswps:_5434. 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: (Klaus Wohlrabe). General contact details of provider: http://edirc.repec.org/data/cesifde.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.