Figure 5

Odds Ratios of multivariate logistic regressions, for several levels of the threshold α a) the chart presents estimated ORs for a multivariate logistic regression where the target variable is the binarized \(\sigma _{s}\) and the predictors are listed in Table 2. The squared dots are the point estimates. The straight lines are the estimated 95% confidence interval for the corresponding OR. The model was estimated on three different sample selections, with the threshold α corresponding to 0.25 (yellow), 0.33 (light-blue) and 0.40 (dark blue). The ORs are computed exponentiating the corresponding estimated coefficients. For each estimated model, the legend reports the value of the threshold α, the number of observations and the in-sample accuracy. b) The histograms show the mapping between the \(\sigma _{s}\) and the binarized \(\sigma _{s}\) for the three values of the threshold α: 0.2 5 (yellow), 0.33 (light blue) and 0.40 (dark blue)