We examine which variables are robust in explaining cross-country differences in the real impact of systemic banking crises. Based on a meta-analysis, we identify 21 variables frequently used as determinants of the severity of crises. Employing nine proxies for crisis severity, we find that...

We test a simple model of exchange rate regime choice with data for non-OECD countries covering the period 1980-94. We find the variance of output at home and in potential target countries as well as the correlation between home and foreign real activity are powerful and robust predictors of...

The authors argue that in modelling cross-country growth models one should first identify so-called outlying observations. For the data set of Sali-i-Martin, they use the least median of squares (LMS) estimator to identify outliers. As LMS is not suited for inference, they then use reweighted...