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Title page 1
Contents 5
Abstract/Résumé 4
1. Introduction 7
2. Methodology 10
3. Assessing alternative methods of using historical data to evaluate uncertainty 14
4. Real-time approaches 25
5. Conclusion 34
References 35
Annex A. Methodological details 36
Figure 1. Benchmark methodology: framework 10
Figure 2. Stylised representation of stochastic debt sustainability analysis in the benchmark model 13
Figure 3. Real GDP year on year growth since 1871 17
Figure 4. Standard Deviation of GDP 5 periods ahead, by simulation method 18
Figure 5. Debt-to-GDP ratios tend to increase during recessions 20
Figure 6. Assessments of risks to GDP under alternative trend-cycle decompositions 23
Figure 7. 70th percentile debt stabilising primary balance 5 periods ahead 24
Figure 8. Distribution of simulated debt-to-GDP ratio 5 periods ahead by method 25
Figure 9. Output typically experiences long periods of growth and sudden short-lived corrections 26
Figure 10. Kalman filter output gap (%) estimate by estimation vintage, United Kingdom 26
Figure 11. Pseudo-real time framework 28
Figure 12. Downside risks to GDP are significantly higher when the economy is booming 29
Figure 13. Forecasts underestimate downturn risks when economy is operating above capacity 30
Figure 14. Fan chart of simulated Debt-to-GDP paths 31
Figure 15. Required cumulative structural primary balance adjustment by initial output gap 32
Figure 16. Debt-stabilising Primary Balance at 70th Percentile 33
Boxes 5
Box 1. The use of SDSA in the EU fiscal rules 13
Figure A.1. Interest rate growth differential 37
Figure A.2. Comparison of GDP outcomes at t+5 for wide and long panel models 38
Figure A.3. Comparison of standard deviation of GDP at t+5 for winsorised and non-winsorised EC method 38
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