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Probabilistic Sustainability of Public Debt : A Vector Autoregression Approach for Brazil, Mexico, and Turkey / Evan Tanner, Issouf Samaké.

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Format:
Book
Government document
Author/Creator:
Tanner, Evan.
Contributor:
Samaké, Issouf.
IMF Institute.
International Monetary Fund. African Department.
Series:
IMF Working Papers; Working Paper ; No. 2006/295
IMF Working Papers
Language:
English
Subjects (All):
Debts, Public--Brazil--Econometric models.
Debts, Public.
Debts, Public--Mexico--Econometric models.
Debts, Public--Turkey--Econometric models.
Fiscal policy--Brazil--Econometric models.
Fiscal policy.
Fiscal policy--Mexico--Econometric models.
Fiscal policy--Turkey--Econometric models.
Physical Description:
1 online resource (44 p.)
Edition:
1st ed.
Place of Publication:
Washington, D.C. : International Monetary Fund, 2006.
Language Note:
English
Summary:
This paper examines the sustainability of fiscal policy under uncertainty in three emerging market countries, Brazil, Mexico, and Turkey. For each country, we estimate a vector autoregression (VAR) that includes fiscal and macroeconomic variables. Retrospectively, a historical decomposition shows by how much debt accumulation reflects unsustainable policy, adverse shocks, or both. Prospectively, Monte Carlo techniques reveal the primary surplus that is required to keep the debt/GDP ratio from rising in all but the worst 50 percent, 25 percent, and 10 percent of circumstances. Such a value-at-risk approach presents a clearer menu of policy options than currently used frameworks.
Contents:
""Contents""; ""I. INTRODUCTION""; ""II. FISCAL SUSTAINABILITY: SOME PREVIOUS WORK""; ""III. OVERVIEW OF OUR METHODOLOGY""; ""IV. BRAZIL, 2000�05""; ""V. MEXICO""; ""VI. TURKEY""; ""VII. SUMMARY AND CONCLUSIONS""; ""APPENDIX ECONOMETRIC METHODOLOGY AND ESTIMATES""; ""REFERENCES""
Notes:
"December 2006."
Includes bibliographical references (p. 39-42).
Description based on print version record.
ISBN:
9786613829177
9781462349791
146234979X
9781452705736
1452705739
9781283516723
1283516721
9781451910087
1451910088
OCLC:
568151148

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