Empirical likelihood based inference for conditional Pareto-type tail index

We propose empirical likelihood-based statistics to construct confidence regions for the regression coefficient of the parametric tail index regression model. Our limited simulation study shows the method is more accurate than the normal approximation in terms of coverage probability.