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   <subfield code="z">9781484333143</subfield>
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   <subfield code="a">1018-5941</subfield>
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   <subfield code="a">Basu, Suman.</subfield>
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   <subfield code="a">A Model to Assess the Probabilities of Growth, Fiscal, and Financial Crises /</subfield>
   <subfield code="c">Suman Basu, Marcos Chamon, Christopher Crowe.</subfield>
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   <subfield code="a">Washington, D.C. :</subfield>
   <subfield code="b">International Monetary Fund,</subfield>
   <subfield code="c">2017.</subfield>
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  <datafield tag="300" ind1=" " ind2=" ">
   <subfield code="a">1 online resource (42 pages)</subfield>
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   <subfield code="a">IMF Working Papers</subfield>
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   <subfield code="a">&lt;strong&gt;Off-Campus Access:&lt;/strong&gt; No User ID or Password Required</subfield>
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   <subfield code="a">&lt;strong&gt;On-Campus Access:&lt;/strong&gt; No User ID or Password Required</subfield>
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   <subfield code="a">Electronic access restricted to authorized BRAC University faculty, staff and students</subfield>
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   <subfield code="a">This paper summarizes a suite of early warning models to assess the probabilities of growth, fiscal, and financial crises in advanced economies and emerging markets. We estimate separate signal-extraction models for each type of crisis and sample of countries, and we use our results to generate 'histories of vulnerabilities' for countries, regions, and the world. For the global financial crisis, our models report that vulnerabilities in advanced economies were rooted in the bursting of leveraged bubbles, while vulnerabilities in emerging markets stemmed from lengthy booms in credit and asset prices combined with growing weaknesses in the corporate and external sectors.</subfield>
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   <subfield code="a">Chamon, Marcos.</subfield>
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   <subfield code="a">Crowe, Christopher.</subfield>
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   <subfield code="a">IMF Working Papers; Working Paper ;</subfield>
   <subfield code="v">No. 2017/282</subfield>
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