IDEAS home Printed from https://ideas.repec.org/p/aim/wpaimx/1627.html
   My bibliography  Save this paper

Power-Law Distribution in the Debt-to-Fiscal Revenue Ratio: Empirical Evidence and a Theoretical Model

Author

Abstract

This paper provides evidence that the external debt-to-fiscal revenue ratio in the emerging countries has a power-law distribution. Such a distribution reflects the fact that debt distress or debt crises are extreme events that have been found to happen fairly often. We formally test the hypothesis of a power-law, going further than the usual visual inspection of the distribution of the variable of interest on a doubly logarithmic scale. We further show that such a distribution can be derived from a theoretical model in which the debt dynamics is explained by tax evasion and corruption. Using the framework of an optimal stochastic growth model, we model the debt-to-fiscal revenue ratio as a diffusion process for which the stochastic steady state distribution is derived using the properties of Itô diffusion processes.

Suggested Citation

  • Gilles Dufrénot & Anne-Charlotte Paret Onorato, 2016. "Power-Law Distribution in the Debt-to-Fiscal Revenue Ratio: Empirical Evidence and a Theoretical Model," AMSE Working Papers 1627, Aix-Marseille School of Economics, France.
  • Handle: RePEc:aim:wpaimx:1627
    as

    Download full text from publisher

    File URL: http://www.amse-aixmarseille.fr/sites/default/files/_dt/2012/wp_2016_-_nr_27.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Graciela L. Kaminsky & Carmen M. Reinhart & Carlos A. Végh, 2005. "When It Rains, It Pours: Procyclical Capital Flows and Macroeconomic Policies," NBER Chapters, in: NBER Macroeconomics Annual 2004, Volume 19, pages 11-82, National Bureau of Economic Research, Inc.
    2. Aguiar, Mark & Amador, Manuel, 2014. "Sovereign Debt," Handbook of International Economics, in: Gopinath, G. & Helpman, . & Rogoff, K. (ed.), Handbook of International Economics, edition 1, volume 4, chapter 0, pages 647-687, Elsevier.
    3. Mr. Tamon Asonuma, 2016. "Serial Sovereign Defaults and Debt Restructurings," IMF Working Papers 2016/066, International Monetary Fund.
    4. Xavier Gabaix & Rustam Ibragimov, 2011. "Rank - 1 / 2: A Simple Way to Improve the OLS Estimation of Tail Exponents," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(1), pages 24-39, January.
    5. Fwu-Ranq Chang & A. G. Malliaris, 2005. "Asymptotic Growth under Uncertainty: Existence and Uniqueness," World Scientific Book Chapters, in: Economic Uncertainty, Instabilities And Asset Bubbles Selected Essays, chapter 1, pages 3-8, World Scientific Publishing Co. Pte. Ltd..
    6. Mark Aguiar & Manuel Amador & Emmanuel Farhi & Gita Gopinath, 2014. "Sovereign Debt Booms in Monetary Unions," American Economic Review, American Economic Association, vol. 104(5), pages 101-106, May.
    7. Cristina Arellano, 2008. "Default Risk and Income Fluctuations in Emerging Economies," American Economic Review, American Economic Association, vol. 98(3), pages 690-712, June.
    8. Chang,Fwu-Ranq, 2009. "Stochastic Optimization in Continuous Time," Cambridge Books, Cambridge University Press, number 9780521541947.
    9. Roberto Savona & Marika Vezzoli, 2015. "Fitting and Forecasting Sovereign Defaults using Multiple Risk Signals," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(1), pages 66-92, February.
    10. Carmen M. Reinhart & Kenneth S. Rogoff, 2014. "This Time is Different: A Panoramic View of Eight Centuries of Financial Crises," Annals of Economics and Finance, Society for AEF, vol. 15(2), pages 215-268, November.
    11. 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.
    12. Ciarlone, Alessio & Trebeschi, Giorgio, 2005. "Designing an early warning system for debt crises," Emerging Markets Review, Elsevier, vol. 6(4), pages 376-395, December.
    13. Robert C. Merton, 1975. "An Asymptotic Theory of Growth Under Uncertainty," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 42(3), pages 375-393.
    14. Gabaix, Xavier & Ibragimov, Rustam, 2011. "Rank − 1 / 2: A Simple Way to Improve the OLS Estimation of Tail Exponents," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 24-39.
    15. Carmen M. Reinhart & Graciela L. Kaminsky, 1999. "The Twin Crises: The Causes of Banking and Balance-of-Payments Problems," American Economic Review, American Economic Association, vol. 89(3), pages 473-500, June.
    16. Gustavo Adler & Mr. Sebastian Sosa, 2013. "External Conditions and Debt Sustainability in Latin America," IMF Working Papers 2013/027, International Monetary Fund.
    17. Herrara, Santiago & Garcia, Conrado, 1999. "User's guide to an early warning system for macroeconomic vulnerability in Latin American countries," Policy Research Working Paper Series 2233, The World Bank.
    18. Joel Slemrod, 2007. "Cheating Ourselves: The Economics of Tax Evasion," Journal of Economic Perspectives, American Economic Association, vol. 21(1), pages 25-48, Winter.
    19. Reinhart, Carmen M. & Rogoff, Kenneth S., 2013. "Banking crises: An equal opportunity menace," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4557-4573.
    20. Carmen M. Reinhart & Graciela L. Kaminsky, 1999. "The Twin Crises: The Causes of Banking and Balance-of-Payments Problems," American Economic Review, American Economic Association, vol. 89(3), pages 473-500, June.
    21. Evan Tanner & Issouf Samake, 2008. "Probabilistic Sustainability of Public Debt: A Vector Autoregression Approach for Brazil, Mexico, and Turkey," IMF Staff Papers, Palgrave Macmillan, vol. 55(1), pages 149-182, April.
    22. Gopinath, G. & Helpman, . & Rogoff, K. (ed.), 2014. "Handbook of International Economics," Handbook of International Economics, Elsevier, edition 1, volume 4, number 4.
    23. Manasse, Paolo & Roubini, Nouriel, 2009. ""Rules of thumb" for sovereign debt crises," Journal of International Economics, Elsevier, vol. 78(2), pages 192-205, July.
    24. James Alm, 2012. "Measuring, explaining, and controlling tax evasion: lessons from theory, experiments, and field studies," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 19(1), pages 54-77, February.
    25. Berg, Andrew & Pattillo, Catherine, 1999. "Predicting currency crises:: The indicators approach and an alternative," Journal of International Money and Finance, Elsevier, vol. 18(4), pages 561-586, August.
    26. Murphy, Kristina, 2008. "Enforcing Tax Compliance: To Punish or Persuade?," Economic Analysis and Policy, Elsevier, vol. 38(1), pages 113-135, March.
    27. Bourguignon, Francois, 1974. "A particular class of continuous-time stochastic growth models," Journal of Economic Theory, Elsevier, vol. 9(2), pages 141-158, October.
    28. Stephen J. Turnovsky, 2000. "Methods of Macroeconomic Dynamics, 2nd Edition," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262201232, December.
    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. Dufrénot, Gilles & Paret, Anne-Charlotte, 2019. "Power-law distribution in the external debt-to-fiscal revenue ratios: Empirical evidence and a theoretical model," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 341-359.
    2. Lanbiao Liu & Chen Chen & Bo Wang, 2022. "Predicting financial crises with machine learning methods," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(5), pages 871-910, August.
    3. Pierre-Olivier Gourinchas & Thomas Philippon & Dimitri Vayanos, 2017. "The Analytics of the Greek Crisis," NBER Macroeconomics Annual, University of Chicago Press, vol. 31(1), pages 1-81.
    4. Thanh C. Nguyen & Vítor Castro & Justine Wood, 2022. "Political environment and financial crises," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 417-438, January.
    5. Bruce N. Lehmann & David M. Modest, 1985. "The Empirical Foundations of the Arbitrage Pricing Theory I: The Empirical Tests," NBER Working Papers 1725, National Bureau of Economic Research, Inc.
    6. Rong Qian & Carmen M. Reinhart & Kenneth S. Rogoff, 2011. "On Graduation from Default, Inflation and Banking Crises: Elusive or Illusion?," NBER Chapters, in: NBER Macroeconomics Annual 2010, volume 25, pages 1-36, National Bureau of Economic Research, Inc.
    7. John Nkwoma Inekwe, 2019. "The exploration of economic crises: parameter uncertainty and predictive ability," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(2), pages 290-313, May.
    8. Maria Siranova & Karol Zelenak, 2023. "Every crisis does matter: Comparing the databases of financial crisis events," Review of International Economics, Wiley Blackwell, vol. 31(2), pages 652-686, May.
    9. Paolo Manasse & Roberto Savona & Marika Vezzoli, 2013. "Rules of Thumb for Banking Crises in Emerging Markets," Working Papers 481, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    10. Eijffinger, Sylvester C.W. & Karataş, Bilge, 2023. "Three sisters: The interlinkage between sovereign debt, currency, and banking crises," Journal of International Money and Finance, Elsevier, vol. 131(C).
    11. Irina Balteanu & Aitor Erce, 2018. "Linking Bank Crises and Sovereign Defaults: Evidence from Emerging Markets," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 66(4), pages 617-664, December.
    12. Pierre-Olivier Gourinchas & Maurice Obstfeld, 2012. "Stories of the Twentieth Century for the Twenty-First," American Economic Journal: Macroeconomics, American Economic Association, vol. 4(1), pages 226-265, January.
    13. Moreno Badia, Marialuz & Medas, Paulo & Gupta, Pranav & Xiang, Yuan, 2022. "Debt is not free," Journal of International Money and Finance, Elsevier, vol. 127(C).
    14. Sara Bertin & Steve Ohana & Vanessa Strauss-Kahn, 2016. "Revisiting the Link Between Political and Financial Crises in Africa," Journal of African Economies, Centre for the Study of African Economies, vol. 25(3), pages 323-366.
    15. Karatas, B., 2014. "Financial crisis and monetary policy," Other publications TiSEM 41e463f0-e122-4379-8db5-6, Tilburg University, School of Economics and Management.
    16. Kauko, Karlo, 2014. "How to foresee banking crises? A survey of the empirical literature," Economic Systems, Elsevier, vol. 38(3), pages 289-308.
    17. Ugo Panizza & Federico Sturzenegger & Jeromin Zettelmeyer, 2009. "The Economics and Law of Sovereign Debt and Default," Journal of Economic Literature, American Economic Association, vol. 47(3), pages 651-698, September.
    18. Frankel, Jeffrey & Saravelos, George, 2012. "Can leading indicators assess country vulnerability? Evidence from the 2008–09 global financial crisis," Journal of International Economics, Elsevier, vol. 87(2), pages 216-231.
    19. Mikkel Hermansen & Oliver Röhn, 2017. "Economic resilience: The usefulness of early warning indicators in OECD countries," OECD Journal: Economic Studies, OECD Publishing, vol. 2016(1), pages 9-35.
    20. Christofides, Charis & Eicher, Theo S. & Papageorgiou, Chris, 2016. "Did established Early Warning Signals predict the 2008 crises?," European Economic Review, Elsevier, vol. 81(C), pages 103-114.

    More about this item

    Keywords

    power-law; stochastic growth; external debt; emerging countries;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

    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:aim:wpaimx:1627. 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: Gregory Cornu (email available below). General contact details of provider: https://edirc.repec.org/data/amseafr.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.