000 02098nam a22003854a 4500
001 WPIEA0182003
003 IMF
005 20190405162559.0
006 m o d
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008 020129s2003 dcu o i00 0 eng d
020 _a1451843666 :
_c15.00 USD
020 _z9781451843668
022 _a1018-5941
024 7 _a10.5089/9781451843668.001
_2doi
035 _a(IMF)WPIEA0182003
040 _aDcWaIMF
_beng
100 1 _aOka, Chikako.
245 1 0 _aAnticipating Arrears to the IMF Early Warning Systems
_h[electronic resource] /
_cChikako Oka.
260 _aWashington, D.C. :
_bInternational Monetary Fund,
_c2003.
300 _a1 online resource (35 p.)
490 1 _aIMF Working Papers; Working Paper ;
_vNo. 03/18
520 3 _aThis paper attempts to predict the incidence of arrears to the International Monetary Fund (IMF) by modifying and applying two of the major early warning systems for currency crises: the "signals" approach proposed by Kaminsky, Lizondo, and Reinhart (1997) and the probit-based alternative developed by Berg and Pattillo (1998). The results, based on both in-sample and out-of-sample tests, appear encouraging. While the unique nature of IMF arrears poses some challenges, the models could be useful tools for identifying countries at high risk of incurring arrears to the IMF.
588 _aDescription based on print version record.
650 7 _aCurrency Crises
_2imf
650 7 _aDebt Outstanding
_2imf
650 7 _aDebt Service
_2imf
650 7 _aEarly Warning
_2imf
650 7 _aExternal Debt
_2imf
650 7 _aInternational Lending and Debt Problems
_2imf
651 7 _aZimbabwe
_2imf
776 0 8 _iPrint Version:
_aOka, Chikako.
_tAnticipating Arrears to the IMF Early Warning Systems
_dWashington, D.C. : International Monetary Fund, 2003.
_z9781451843668
830 0 _aIMF Working Papers; Working Paper ;
_vNo. 03/18
856 4 0 _uhttp://elibrary.imf.org/view/IMF001/00343-9781451843668/00343-9781451843668/00343-9781451843668.xml
_zIMF e-Library
856 4 0 _uhttp://www.imfbookstore.org/IMFORG/9781451843668
_zIMF Book Store
999 _c151217
_d151217