Monitoring Economic Vulnerability and Performance: Applications to the Philippines
Josef T. Yap
No DP 2002-13, Discussion Papers from Philippine Institute for Development Studies
Abstract:
The recent spate of banking and currency crises has underscored the need to develop early warning systems. These are based on economic indicators of vulnerability, which can be identified from models and theories of crises. First generation models focus on the inconsistency of macroeconomic policies and the exchange rate peg. Second generation models revolve around the possibility of self-fulfilling crises and multiple equilibria. Meanwhile, the 1997 East Asian financial crisis spawned research on third-generation models, which integrated balance sheets of banks and corporations in the framework of second-generation models. The next step is then to combine all the variables in a meaningful way that will allow the prediction of economic crises. There are two popular approaches: the probability model using limited dependent variables estimation and the signals approach of Kaminsky and Reinhart. Both these methodologies have their own advantages and disadvantages but their usefulness is constrained by the availability and timeliness of high-frequency data.
Keywords: early warning system; currency and banking crisis; signals approach; probability approach (search for similar items in EconPapers)
Pages: 37
Date: 2002
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.pids.gov.ph/publication/discussion-pap ... to-the-philippines-2 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:phd:dpaper:dp_2002-13
Access Statistics for this paper
More papers in Discussion Papers from Philippine Institute for Development Studies Contact information at EDIRC.
Bibliographic data for series maintained by Michael Ralph M. Abrigo ().