机构:
Inst Tecnol Autonomo Mexico, Business Sch, Camino Santa Teresa 930, Mexico City 10700, MexicoInst Tecnol Autonomo Mexico, Business Sch, Camino Santa Teresa 930, Mexico City 10700, Mexico
Singh, Anurag
[1
]
机构:
[1] Inst Tecnol Autonomo Mexico, Business Sch, Camino Santa Teresa 930, Mexico City 10700, Mexico
Sovereign default;
Clustered default;
Latin-American debt crisis;
Sovereign debt;
BUSINESS CYCLES;
DEBT;
ECONOMIES;
D O I:
10.1016/j.jinteco.2024.103999
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
Clustered sovereign default is a recurring phenomenon, but there is a lack of quantitative models to study it. This paper introduces a quantitative framework aimed at untangling latent shocks and examining the mechanisms that precipitate clustered defaults. The model incorporates financial frictions into a sovereign default framework and accommodates global shocks that impact both borrowing countries and lenders. By jointly estimating structural parameters governing the output process of multiple countries, the global shocks are extracted. The framework's ability to effectively capture multiple crisis episodes, such as the 1980s Latin American debt crisis, validates the joint robustness of the model and the estimation process. The framework uncovers the crucial role of global transitory shocks in producing clustered defaults, particularly when convex default costs are present. Additionally, contrary to what is commonly believed, the framework shows that the Volcker interest rate hike was not a decisive factor in the 1980s clustered default.
机构:
Fed Reserve Bank Minneapolis, Minneapolis, MN 55401 USA
Univ Minnesota, Minneapolis, MN 55401 USA
NBER, Cambridge, MA 02138 USAFed Reserve Bank Minneapolis, Minneapolis, MN 55401 USA
Arellano, Cristina
Bai, Yan
论文数: 0引用数: 0
h-index: 0
机构:
Univ Rochester, Dept Econ, Rochester, NY 14627 USAFed Reserve Bank Minneapolis, Minneapolis, MN 55401 USA
Bai, Yan
AMERICAN ECONOMIC REVIEW,
2014,
104
(05):
: 94
-
100