Graphical models have become a very popular tool for representing dependencies within a large set of variables and are key for representing causal structures. We provide results for uniform inference on high-dimensional graphical models with the number of target parameters d being possible much...

Due to the increasing availability of high-dimensional empirical applications in many research disciplines, valid simultaneous inference becomes more and more important. For instance, high-dimensional settings might arise in economic studies due to very rich data sets with many potential...

The paper introduces the appropriate within estimators for the most frequently used three-dimensional fixed effects panel data models. It analyzes the behavior of these estimators in the cases of no self-flow data, unbalanced data, and dynamic autoregressive models. The main results are then...

The paper introduces the appropriate within estimators for the most frequently used three-dimensional fixed effects panel data models. It analyzes the behavior of these estimators in the cases of no self-flow data, unbalanced data, and dynamic autoregressive models. The main results are then...

The Marketing Scales Handbook series is the longest-running set of books that provide reviews of multi-item survey measures that have been used in scholarly studies of consumer behavior. This is the ninth volume of the classic series provides reviews of 433 measures reported in top marketing...

Teil 1 konzentriert sich auf die praxisgerechte und verständliche Darstellung des multivariaten Verfahrens der Multidimensionalen Skalierung, die im Rahmen eines professionellen Marketings eine hervorgehobene Rolle einnehmen. Ausgehend von einigen Beispielen und nach der Einordnung der MDS in...

Part I focuses on achieving a practical and comprehensible depiction of the multivariate method ‘multidimensional scaling (MDS)’. These methods play a significant role in professional marketing. The article begins with some examples and classifies the relevant multivariate methods. It then...