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BALANCE OF PAYMENT CRISES IN EMERGING MARKETS HOW EARLY WERE THE "EARLY" WARNING SIGNALS?by Matthieu BussièreIn 2007 all ECB publications feature a motif taken from the €20 banknote. Non-technical summary
WO R K I N G PA P E R S E R I E SThe financial crises that swept emerging markets in the past decades have now been analyzed through a variety of empirical models. These models seek to statistically relate the occurrence of crises to lagged variables, which play the role of early warning indicators. Such indicators include, for instance, debt and liquidity ratios, current account and government deficits, indicators of private sector imbalances, contagion, and so forth. As financial crises are a relatively rare event, these models are usually estimated with a panel of emerging markets in order to have enough observations. In spite of important differences between each other (in terms of country coverage or specific econometric technique), most existing models share two noticeable characteristics. First, they are static models (the lagged dependent variable does not enter the equation) and second, they assume that all dependent variables enter the specification at the same lag. The aim of this paper is to test these two assumptions and to propose a framework within which they can be relaxed.The first contribution of the present paper is to introduce a dynamic specification to model financial crises. Indeed, most existing models rely on a static specification, based on the assumption that the probability of a crisis in a given country is independent of whether this country has been hit by a crisis before. However, this assumption seems very unlikely, both in the short and in the long run (in technical words, there can be state dependence). Although the proposition that the occurrence of crises in the past can influence the likelihood to observe crises in the future may appear relatively intuitive, it has not been formally tested so far. In addition, the direction of the effect is not immediately clear. In the short run, the effect could indeed run both ways. On the one hand, if a crisis translates into a large proportion of liquid investment flowing out, it is unlikely that capital outflows happen again immediately afterwards (all the funds have been moved out); in this case, the lagged dependent variable would have a negative sign. On the other hand, a crisis may indicate that a country is more vulnerable than inve...