IDEAS home Printed from https://ideas.repec.org/a/ris/badest/0559.html
   My bibliography  Save this article

From Judgmental Projection to Time Series Forecast: Does it Alter the Debt Sustainability Analysis of Bangladesh?

Author

Listed:
  • GOSWAMI , GOUR GOBINDA

    (Professor, Department of Econ omics and Treasurer (in charge), North South University (NSU), Dhaka, Bangladesh)

  • HOSSAIN, MOHAMMAD MASHNUN

    (BS in Economics degree from the Department of Economics, NSU)

Abstract

Debt Sustainability Analysis (DSA) conducted by the multilateral organisations like the World Bank and IMF falls under the domain of Judgmental Projection reflecting their views or judgment about the economy. The study incorporates time series forecast using ARIMA method to analyse debt sustainability in practice in Bangladesh. More specifically, macro, fiscal, current account and debt variables have been forecasted according to the requirement of debt sustainability framework (DSF) for use in a standard DSA template. Using the time series forecast based inputs, the study concludes that debt is sustainable for Bangladesh for the period 2013-2033 based on the standard country specific debt burden threshold. The study notes that the results produced by different methodologies broadly follow similar path. However, time series forecasts imply a better economic situation in terms of improved repayment capacity compared with judgmental projection.

Suggested Citation

  • Goswami , Gour Gobinda & Hossain, Mohammad Mashnun, 2013. "From Judgmental Projection to Time Series Forecast: Does it Alter the Debt Sustainability Analysis of Bangladesh?," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 36(3), pages 1-41, September.
    • Handle: RePEc:ris:badest:0559
    as

    Download full text from publisher

    File URL: http://bids.org.bd/uploads/publication/BDS/36/36-3/1_Judgmental%20Projection.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ms. Jocelyn Horne, 1991. "Indicators of Fiscal Sustainability," IMF Working Papers 1991/005, International Monetary Fund.
    2. Carmen M. Reinhart & Kenneth S. Rogoff & Miguel A. Savastano, 2003. "Debt Intolerance," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 34(1), pages 1-74.
    3. Aart Kraay & Vikram Nehru, 2006. "When Is External Debt Sustainable?," The World Bank Economic Review, World Bank, vol. 20(3), pages 341-365.
    4. Wilcox, David W, 1989. "The Sustainability of Government Deficits: Implications of the Present-Value Borrowing Constraint," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 21(3), pages 291-306, August.
    5. Mr. Aasim M. Husain & Chakriya Bowman, 2004. "Forecasting Commodity Prices: Futures Versus Judgment," IMF Working Papers 2004/041, International Monetary Fund.
    6. Mr. Nigel A Chalk & Mr. Richard Hemming, 2000. "Assessing Fiscal Sustainability in Theory and Practice," IMF Working Papers 2000/081, International Monetary Fund.
    7. Hamilton, James D & Flavin, Marjorie A, 1986. "On the Limitations of Government Borrowing: A Framework for EmpiricalTesting," American Economic Review, American Economic Association, vol. 76(4), pages 808-819, September.
    8. Islam , Md. Ezazul & Biswas , Bishnu Pada, 2005. "Public Debt Management and Debt Sustainability in Bangladesh," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 31(1-2), pages 79-102, March-Jun.
    9. Berg, Andrew & Sachs, Jeffrey, 1988. "The debt crisis structural explanations of country performance," Journal of Development Economics, Elsevier, vol. 29(3), pages 271-306, November.
    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. Carlos Díaz Alvarado & Alejandro Izquierdo & Ugo Panizza, 2004. "Fiscal Sustainability in Emerging Market Countries with an Application to Ecuador," Research Department Publications 4371, Inter-American Development Bank, Research Department.
    2. Alexis CRUZ-RODRÍGUEZ, 2014. "Assessing fiscal sustainability in some selected countries," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(6(595)), pages 7-22, June.
    3. Koo, Chung Mo, 2002. "Fiscal sustainability in the wake of the economic crisis in Korea," Journal of Asian Economics, Elsevier, vol. 13(5), pages 659-669.
    4. Javier L. Arnaut, 2017. "Was Colonialism Fiscally Sustainable? An Empirical Examination of the Colonial Finances of Spanish America," Documentos de Trabajo (DT-AEHE) 1703, Asociación Española de Historia Económica.
    5. Canofari, Paolo & Marini, Giancarlo & Piergallini, Alessandro, 2020. "Financial Crisis and Sustainability of US Fiscal Deficit: Indicators or Tests?," Journal of Policy Modeling, Elsevier, vol. 42(1), pages 192-204.
    6. María del Carmen Ramos-Herrera & Simón Sosvilla-Rivero, 2020. "Fiscal Sustainability in Aging Societies: Evidence from Euro Area Countries," Sustainability, MDPI, vol. 12(24), pages 1-20, December.
    7. Carlos Díaz Alvarado & Alejandro Izquierdo & Ugo Panizza, 2004. "Viabilidad fiscal en países de mercados emergentes con un enfoque en Ecuador," Research Department Publications 4372, Inter-American Development Bank, Research Department.
    8. Evan Lau & Ahmad Zubaidi Baharumshah, 2005. "Assessing The Mean Reversion Behavior Of Fiscal Policy: The Case Of Asian Countries," Macroeconomics 0504002, University Library of Munich, Germany.
    9. Andrea Silvestrini, 2010. "Testing fiscal sustainability in Poland: a Bayesian analysis of cointegration," Empirical Economics, Springer, vol. 39(1), pages 241-274, August.
    10. Yilmaz Akyüz, 2007. "Debt Sustainability in Emerging Markets: A Critical Appraisal," Working Papers 61, United Nations, Department of Economics and Social Affairs.
    11. Ata Ozkaya, 2013. "The Effects of Debt Intolerance and Public Debt Sustainability on Credit Ratings: Evidence From European Economies," Working Papers 011, Bahcesehir University, Betam.
    12. Matteo Formenti, 2008. "Indicators and Tests of Sustainability: The Italian Case," Rivista di Politica Economica, SIPI Spa, vol. 98(6), pages 123-160, November-.
    13. Genberg, Hans & Sulstarova, Astrit, 2008. "Macroeconomic volatility, debt dynamics, and sovereign interest rate spreads," Journal of International Money and Finance, Elsevier, vol. 27(1), pages 26-39, February.
    14. António Afonso, 2000. "Fiscal policy sustainability: some unpleasant European evidence," Working Papers Department of Economics 2000/12, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    15. Kayandabila, Yamungu & Manyama, Mulesi Kanyere, 2013. "Fiscal Policy and Debt Dynamic: Evidence from Tanzania," African Journal of Economic Review, African Journal of Economic Review, vol. 1(2), July.
    16. Alberto Bagnai, 2004. "Keynesian And Neoclassical Fiscal Sustainability Indicators, With Applications To Emu Member Countries," Public Economics 0411005, University Library of Munich, Germany.
    17. Ahmad Zubaidi Baharumshah & Evan Lau, 2010. "Mean Reversion Of The Fiscal Conduct In 24 Developing Countries," Manchester School, University of Manchester, vol. 78(4), pages 302-325, July.
    18. Jakob Korbinian Eberl, 2016. "The Collateral Framework of the Eurosystem and Its Fiscal Implications," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 69.
    19. António Afonso, 2005. "Fiscal Sustainability: The Unpleasant European Case," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 61(1), pages 19-44, March.
    20. Enrique G. Mendoza & P. Marcelo Oviedo, 2009. "Public Debt, Fiscal Solvency and Macroeconomic Uncertainty in Latin America The Cases of Brazil, Colombia, Costa Rica and Mexico," Economía Mexicana NUEVA ÉPOCA, CIDE, División de Economía, vol. 0(2), pages 133-173, July-Dece.

    More about this item

    Keywords

    DSA; Bangladesh; ARIMA; Time Series Forecasting;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

    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:ris:badest:0559. 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: Meftaur Rahman, Cheif Publication Officer, BIDS (email available below). General contact details of provider: https://edirc.repec.org/data/bidssbd.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.