Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
This paper uses a Binary Classification Tree (BCT) model to analyze banking crises in 50 emerging market and developing countries during 1990-2005. The BCT model identifies three conditions (and the specific threshold of the key indictors) at which the vulnerability to banking crisis increases--(i) very high inflation, (ii) highly dollarized bank deposits combined with nominal depreciation or low bank liquidity, and (iii) low bank profitability--which highlight that foreign currency risk, poor financial soundness, and macroeconomic instability are important drivers of banking crises. The results also emphasize the importance of conditional thresholds in triggering crises, in that banking crises are underlined by a combination of vulnerabilities--or a sequence of (non-linear) conditions--rather than the deterioration of a unique factor.