Early warning systems for sovereign debt crises: The role of heterogeneity
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Article provided by Elsevier in its journal Computational Statistics & Data Analysis.
Volume (Year): 51 (2006)
Issue (Month): 2 (November)
Pages: 1420-1441
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Web page: http://www.elsevier.com/locate/csda
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Francesco Bartolucci & Valentina Nigro, 2007.
"Maximum likelihood estimation of an extended latent markov model for clustered binary panel data,"
CEIS Research Paper
96, Tor Vergata University, CEIS.
- Bartolucci, Francesco & Nigro, Valentina, 2007. "Maximum likelihood estimation of an extended latent Markov model for clustered binary panel data," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3470-3483, April.
- Fantazzini, Dean, 2008. "Credit Risk Management," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 12(4), pages 84-137.
- Thangjam Rajeshwar Singh, 2011. "An ordered probit model of an early warning system for predicting financial crisis in India," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Proceedings of the IFC Conference on "Initiatives to address data gaps revealed by the financial crisis", Basel, 25-26 August 2010, volume 34, pages 185-201 Bank for International Settlements.
- Roberto Savona & Marika Vezzoli, 2012. "Fitting and Forecasting Sovereign Defaults Using Multiple Risk Signals," Working Papers 2012_26, Department of Economics, University of Venice "Ca' Foscari".
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