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Debt Sustainability in Low-Income Countries : policies, institutions, or shocks? / by Yasemin Bal Gündüz.

By: Material type: TextTextSeries: IMF working paper ; WP/17/114.Publication details: Washington, D.C. : International Monetary Fund, 2017.Description: 1 online resource (48)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 1475599811
  • 9781475599817
  • 1475599730
  • 9781475599732
Subject(s): Genre/Form: Additional physical formats: Print Version:: Debt Sustainability in Low-Income Countries: Policies, Institutions, or Shocks?DDC classification:
  • 336.36 23
LOC classification:
  • HJ8899
Online resources:
Contents:
Cover; Contents; I. Introduction; II. Hypotheses; III. Empirical Methodology; A. Identification of Debt Distress Episodes; B. Explanatory Variables; C. Econometric Specification; IV. Results; A. Estimation Results: Benchmark Specifications; B. Goodness of Fit; C. The Threshold Probability Analysis; D. Marginal Effects of Explanatory Variables on the Probability of Debt Distress; V. Concluding Remarks; References; Appendix I. PPG External Debt Thresholds in the IMF-World Bank Debt Sustainability Framework; Appendix II. External Debt Distress Episodes and the Identification Criteria.
Appendix III. Variables Used in the Probit RegressionsAppendix IV. Standard Deviations of Policy Variables in the MI Index; Appendix V. The List of Countries; Appendix VI. Indicators of Model Fit for the KN regressions; Figures; 1. Identification of Normal Episodes; 2. Threshold Probability Analysis; 3. Model I: Counterfactual Simulations-Effects of Explanatory Variables on the Probability of Debt Distress; Tables; 1. Estimation Results: Determinants of Probability of Debt Distress in LICs (PV of PPG external debt/GDP).
2. Marginal Effects of Explanatory Variables on Crisis Probability (Benchmark 1)3. Marginal Effects of Explanatory Variables on Crisis Probability (Benchmark 2); 4. Estimation Results: Determinants of Probability of Debt Distress in LICs (PV of PPG external debt/exports); 5. Estimation Results: Determinants of Probability of Debt Distress in LICs (PPG external debt service/exports); 6. Predicted Probabilities (Percentiles), (PV of PPG external debt/GDP); 7. Predicted Probabilities (Percentiles), (PV of PPG external debt/exports).
8. Predicted Probabilities (Percentiles), (PPG external debt service/exports)9. Threshold Probabilities and Model Fit Across Different Specifications; 10. Values of Explanatory Variables in Counterfactual Simulations.
Abstract: This paper estimates the determinants of external debt distress in low-income countries (LICs), disentangling the roles of institutions, shocks, and policies. The most prominent factors in raising the risk of debt distress are the weak protection of private property rights, adverse shocks to real non-oil commodity prices, and a high debt burden. Results also suggest that weak economic institutions tend to raise the probability of debt distress through persistently weak economic policies and high vulnerability to external shocks. The model enables a more granular analysis of debt sustainability in LICs and has a higher predictive power compared to the earlier scant literature.
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Print version record.

Cover; Contents; I. Introduction; II. Hypotheses; III. Empirical Methodology; A. Identification of Debt Distress Episodes; B. Explanatory Variables; C. Econometric Specification; IV. Results; A. Estimation Results: Benchmark Specifications; B. Goodness of Fit; C. The Threshold Probability Analysis; D. Marginal Effects of Explanatory Variables on the Probability of Debt Distress; V. Concluding Remarks; References; Appendix I. PPG External Debt Thresholds in the IMF-World Bank Debt Sustainability Framework; Appendix II. External Debt Distress Episodes and the Identification Criteria.

Appendix III. Variables Used in the Probit RegressionsAppendix IV. Standard Deviations of Policy Variables in the MI Index; Appendix V. The List of Countries; Appendix VI. Indicators of Model Fit for the KN regressions; Figures; 1. Identification of Normal Episodes; 2. Threshold Probability Analysis; 3. Model I: Counterfactual Simulations-Effects of Explanatory Variables on the Probability of Debt Distress; Tables; 1. Estimation Results: Determinants of Probability of Debt Distress in LICs (PV of PPG external debt/GDP).

2. Marginal Effects of Explanatory Variables on Crisis Probability (Benchmark 1)3. Marginal Effects of Explanatory Variables on Crisis Probability (Benchmark 2); 4. Estimation Results: Determinants of Probability of Debt Distress in LICs (PV of PPG external debt/exports); 5. Estimation Results: Determinants of Probability of Debt Distress in LICs (PPG external debt service/exports); 6. Predicted Probabilities (Percentiles), (PV of PPG external debt/GDP); 7. Predicted Probabilities (Percentiles), (PV of PPG external debt/exports).

8. Predicted Probabilities (Percentiles), (PPG external debt service/exports)9. Threshold Probabilities and Model Fit Across Different Specifications; 10. Values of Explanatory Variables in Counterfactual Simulations.

This paper estimates the determinants of external debt distress in low-income countries (LICs), disentangling the roles of institutions, shocks, and policies. The most prominent factors in raising the risk of debt distress are the weak protection of private property rights, adverse shocks to real non-oil commodity prices, and a high debt burden. Results also suggest that weak economic institutions tend to raise the probability of debt distress through persistently weak economic policies and high vulnerability to external shocks. The model enables a more granular analysis of debt sustainability in LICs and has a higher predictive power compared to the earlier scant literature.

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