© 2003 International Monetary Fund
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Hemming, Richard
Fiscal vulnerability and financial crises in emerging market economies / Richard Hemming, Michael Kell, and Axel Schimmelpfennig — Washington, D.C.: International Monetary Fund, 2003
p. cm. — (Occasional paper, ISSN 0251-6365; 218)
Includes bibliographical references.
ISBN 1-58906-196-9
1. Fiscal policy. 2. Financial crises. 3. Currency question. I. Kell, Michael. II. Schimmelpfennig, Axel. III. International Monetary Fund. IV. Occasional paper (International Monetary Fund); no. 218
HJ192.5.H35 2003
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Contents
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Preface
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I Overview
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II Background
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Definitions
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Assessing Fiscal Vulnerability
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Conclusions from the Literature
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III Data and Event Studies
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Data
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Event Studies
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Summary of Findings
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IV EWS Models and the Severity of Currency Crises
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Using Fiscal Variables to Predict Crises
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Fiscal Variables and the Severity of Currency Crises
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Summary of Findings
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V Case Studies
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Fiscal Causes of Crises
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Fiscal Indicators
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Fiscal Consequences of Crises
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VI Conclusions
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What Are the Fiscal Causes of Crises?
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Which Fiscal Vulnerability Indicators Help to Predict Crises?
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Can Fiscal Variables Explain the Severity of Currency Crises?
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What Are the Fiscal Consequences of Crises?
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Appendixes
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I Literature Review
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II Country and Area Coverage and Data Availability
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III Event Studies
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IV EWS Models and the Severity of Currency Crises
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V Case Studies
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References
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Boxes
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2.1. Currency, Debt, and Banking Crises
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3.1. Fiscal Variables
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Text Tables
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4.1. Summary Results from the Signals Approach
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4.2. Summary of Probit EWS Results
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4.3. Explaining the Severity of Currency Crises (STV Approach)
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4.4. Explaining Changes in the FMP Index (Panel Approach, Fixed Effects)
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5.1. Causes of Crises
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5.2. Fiscal Consequences of Crises
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Appendix Tables
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A1.1. Literature Review: Empirical Studies of Financial Crises
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A2.1. Countries and Areas Included in EWS and Event Studies
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A2.2. Dates of Crisis Episodes
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A2.3. Description and Sources of Fiscal Variables
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A2.4. Data Availability
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A4.1. Performance of Indicators of Currency Crises Using the Signals Approach
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A4.2. Performance of Indicators of Debt Crises Using the Signals Approach
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A4.3. Performance of Indicators of Banking Crises Using the Signals Approach
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A4.4. Country-Specific Thresholds for Currency Crises
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A4.5. Country-Specific Thresholds for Debt Crises
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A4.6. Country-Specific Thresholds for Banking Crises
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A4.7. Regression Results for the DCSD Specification (Maximum Sample)
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A4.8. Regression Results for Deficit and Financing Variables (Joint Sample)
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A4.9. Regression Results for Reduced Set of Deficit and Financing Variables (Maximum Sample)
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A4.10. Regression Results for Selected Fiscal Variables
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A4.11. Explaining Crisis Depth (Benchmark Specification)
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A4.12. Best Performers Among Fiscal Variables
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A4.13. Benchmark Specification for Panel Approach (Fixed Effects)
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A4.14. Including Deficit and Financing Variables in the Benchmark Specification (Panel Approach, Fixed Effects)
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A4.15. Including Public Debt Variables Individually in the Benchmark Specification (Panel Approach, Fixed Effects)
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A4.16. Including Government Expenditure Variables in the Benchmark Specification (Panel Approach, Fixed Effects)
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A4.17. Best Performers Among Fiscal Variables (Panel Approach, Fixed Effects)
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A5.1. Mexico: Selected Fiscal Vulnerability Indicators (Annual)
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A5.2. Mexico: Selected Fiscal Vulnerability Indicators (Quarterly)
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A5.3. Argentina: Selected Fiscal Vulnerability Indicators (Annual)
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A5.4. Argentina: Selected Fiscal Vulnerability Indicators (Quarterly)
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A5.5. Bulgaria: Selected Fiscal Vulnerability Indicators
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A5.6. Czech Republic: Selected Fiscal Vulnerability Indicators
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A5.7. Thailand: Selected Fiscal Vulnerability Indicators (Annual)
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A5.8. Thailand: Selected Fiscal Vulnerability Indicators (Quarterly)
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A5.9. Korea: Selected Fiscal Vulnerability Indicators (Annual)
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A5.10. Korea: Selected Fiscal Vulnerability Indicators (Quarterly)
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A5.11. Pakistan: Selected Fiscal Vulnerability Indicators
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A5.12. Russia: Selected Fiscal Vulnerability Indicators (Annual)
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A5.13. Russia: Selected Fiscal Vulnerability Indicators (Quarterly)
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A5.14. Ukraine: Selected Fiscal Vulnerability Indicators
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A5.15. Brazil: Selected Fiscal Vulnerability Indicators
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A5.16. Ecuador: Selected Fiscal Vulnerability Indicators
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Figures
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3.1. Number of Crises in the Sample
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3.2. Overall Balance
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3.3. Public External Debt
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3.4. Short-Term Debt
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Appendix Figures
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A3.1. Actuarial Deficit
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A3.2. Total Financing
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A3.3. Change in Net Claims on Government
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A3.4. Foreign Debt
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A3.5. Total Expenditure
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A3.6. Interest Expenditure
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A3.7. Social Expenditure
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A3.8. International Trade Taxes
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The following symbols have been used throughout this paper:
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… to indicate that data are not available;
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— to indicate that the figure is zero or less than half the final digit shown, or that the item does not exist;
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– between years or months (e.g., 2001–02 or January-June) to indicate the years or months covered, including the beginning and ending years or months;
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/ between years (e.g., 2001/02) to indicate a fiscal (financial) year.
“n.a.” means not applicable.
“Billion” means a thousand million.
Minor discrepancies between constituent figures and totals are due to rounding.
The term “country,” as used in this paper, does not in all cases refer to a territorial entity that is a state as understood by international law and practice; the term also covers some territorial entities that are not states, but for which statistical data are maintained and provided internationally on a separate and independent basis.
Preface
This Occasional Paper focuses on the fiscal aspects of financial crises in emerging market economies, and as such fills a gap in the crisis literature. The discussion in the paper is based on statistical analysis of a large dataset of fiscal variables and case studies of eleven emerging market crises during the 1990s. The paper concludes that there are several important fiscal causes of crises, related to the size of deficits and their financing, the level and composition of public debt, and structural fiscal factors. Some fiscal indicators are useful for predicting crises, including banking crises. That said, fiscal indicators add little to existing early warning system models in terms of calling crises, but may be useful in improving the ability of such models to predict tranquil periods. It is found that crises tend to put upward pressure on deficits and add to debt as output falls, the exchange rate depreciates, and the government has to cover the costs of bank restructuring. However, the fiscal adjustment usually required in response to a crisis more than offsets the underlying increase in deficits. Crises have also proved to be a catalyst for difficult structural fiscal reforms.
The authors are especially indebted to Teresa Ter-Minassian for her overall guidance and support, to Nigel Chalk and Tony Annett for their contributions to the case studies, and to Estella Macke for excellent research assistance. They would also like to thank Andy Berg, Marco Cangiano, Luis Cubeddu, James Daniel, Liam Ebrill, Hali Edison, Anne-Marie Guide, Paolo Manasse, Luiz de Mello, Eric Mottu, Saleh Nsouli, Carmen Reinhart, Nouriel Roubini, Gerd Schwartz, and Hung Tran for their helpful comments on earlier drafts, and colleagues in area departments and the offices of Executive Directors who commented on the case studies. Administrative assistance was provided by Constanza Bryant, Veronique Catany, and Mileva Radisavljeviç. Esha Ray of the External Relations Department edited the paper and coordinated its publication.
The opinions expressed in the paper are those of the authors and do not necessarily reflect the views of national authorities, the IMF, or IMF Executive Directors.