User's Guide to an Early Warning System for Macroeconomic Vulnerability in Latin American Countries
Statistically, Type I and Type II errors are smaller than those reported in previous papers. Operationally, this system of leading indicators is less costly to maintain, given fewer variables - which are widely available and reported with timeliness. Herrera and Garcia tested the models' out-of...
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| Format: | eBook |
| Language: | English |
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Washington, D.C
The World Bank
1999
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| Collection: | World Bank E-Library Archive - Collection details see MPG.ReNa |
| Summary: | Statistically, Type I and Type II errors are smaller than those reported in previous papers. Operationally, this system of leading indicators is less costly to maintain, given fewer variables - which are widely available and reported with timeliness. Herrera and Garcia tested the models' out-of-sample predictive ability on crises that occurred after the first stage of their project was finished: Colombia (September 1998), Brazil (January 1999), and Ecuador (February 1999). In all cases the models correctly anticipated the speculative attacks. Moreover, Mexico's models, estimated with information available two years before the 1994 crisis, show that these signaling devices would have been useful for signaling the macroeconomic vulnerability before December 1994. This paper - a product of the Economic Policy Sector Unit, Latin America and the Caribbean Region - is part of a larger effort in the region to build tools that policymakers can use to prevent crises. Models for an early warning system do a good job predicting vulnerability to macroeconomic crises in several Latin American countries. - Herrera and Garcia develop an early warning system for macroeconomic vulnerability for several Latin American countries, drawing on the work of Kaminsky, Lizondo, and Reinhart (1997) and Kaminsky (1988). They build a composite leading indicator that signals macroeconomic vulnerability, showing that, historically, crises tend to happen in certain vulnerable situations. Interested mainly in providing an operational tool, Herrera and Garcia use a different approach to the problem than Kaminsky did. First, they use fewer variables to generate the signals. Then, after the variables are aggregated, a signal is issued, depending on the behavior of the composite index. (Kaminsky's procedure was to generate signals with each variable and then aggregate them.) Their results are satisfactory both statistically and operationally. The authors may be contacted at cgarciacorado@worldbank.org or sherrera@worldbank.org |
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| Physical Description: | 22 p. |