Geographically weighted small area methods have been studied in literature for small area estimation. Although these approaches are useful for the estimation of small area means efficiently under strict parametric assumptions, they can be very sensitive to outliers in the data. In this paper, we...

We develop a new Bayesian estimator that is able to deal with multivariate panel data structure in the presence of spatial correlation. The analysis of panel data introduced here allows us to analyze not only the fixed effect but also the random effect model. This work extends the previous study...

Starting from an information process governed by a geometric Brownian motion we show that asset returns are predictable if the elasticity of the pricing kernel is not constant. Declining [Increasing] elasticity of the pricing kernel leads to mean reversion and negatively autocorrelated asset...

Leere Bahnhöfe, verwaiste Straßen: Der Verkehrssektor gehörte zweifellos zu den markantesten Ausprägungen der COVID-19-Pandemie. Nachdem der gesellschaftliche Krisenzustand seit Frühjahr 2023 offiziell als überwunden gilt, untersucht die vorliegende Studie, wie drei Jahre Pandemie das...