panel data. We use long-term panel data from Germany and apply different regression models, based on household covariates …. Estimates based on cross-sectional data are much less accurate than those based on panel data, but for Germany, the accuracy of … vulnerability predictions is limited even when panel data are used. In part this low accuracy is due to low poverty incidence and …

We investigate the accuracy of ex ante assessments of vulnerability to poverty using cross-sectional data and panel … data. We use long-term panel data from Germany and apply different regression models, based on household covariates and … on cross-sectional data are much less accurate than those based on panel data, but for Germany, the accuracy of …

Dependence modelling and estimation is a key issue in the assessment of portfolio risk. When measuring extreme risk in … complete extreme dependence structure of a portfolio. We also present a simple nonparametric estimation procedure. To show our …

This paper investigates how to measure common market risk factors using newly proposed Panel Quantile Regression Model … particular Panel Quantile Regression Model for Returns consistently outperforms all the competitors in the 5% and 10% quantiles …

requires only panel data on consumption and income. Using the Panel Study of Income Dynamics, we find-in contrast to the … incomplete markets model and find that advance information reduces households' income forecast errors by 15%. Our estimation …

panel data. We use long-term panel data from Germany and apply different regression models, based on household covariates …. Estimates based on cross-sectional data are much less accurate than those based on panel data, but for Germany, the accuracy of … vulnerability predictions is limited even when panel data are used. In part this low accuracy is due to low poverty incidence and …